Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9959183673469387
+      value: 0.7149341806627326
 ---
 
 <!-- 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: 0.0224
-- Accuracy: 0.9959
+- Loss: 1.1312
+- Accuracy: 0.7149
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0826        | 1.0   | 206  | 0.0373          | 0.9918   |
-| 0.0658        | 2.0   | 413  | 0.0224          | 0.9959   |
-| 0.012         | 2.99  | 618  | 0.0272          | 0.9932   |
+| 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   |
 
 
 ### Framework versions