Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9675748705246566
+      value: 0.9578552356209857
 ---
 
 <!-- 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: 0.1382
-- Accuracy: 0.9676
+- Loss: 0.1725
+- Accuracy: 0.9579
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step  | Validation Loss | Accuracy |
 |:-------------:|:------:|:-----:|:---------------:|:--------:|
-| 0.318         | 1.0000 | 19982 | 0.2505          | 0.9418   |
-| 0.3994        | 2.0    | 39965 | 0.1906          | 0.9531   |
-| 0.4436        | 2.9999 | 59946 | 0.1382          | 0.9676   |
+| 0.2809        | 1.0000 | 31177 | 0.3357          | 0.9104   |
+| 0.3831        | 2.0000 | 62354 | 0.2432          | 0.9401   |
+| 0.3727        | 3.0000 | 93531 | 0.1725          | 0.9579   |
 
 
 ### Framework versions