Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9803921568627451
+      value: 0.9921875
 ---
 
 <!-- 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: 0.1426
-- Accuracy: 0.9804
+- Loss: 0.0305
+- Accuracy: 0.9922
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.8   | 3    | 0.1426          | 0.9804   |
-| No log        | 1.87  | 7    | 0.0373          | 0.9804   |
-| No log        | 2.4   | 9    | 0.0328          | 0.9804   |
+| 0.2199        | 1.0   | 81   | 0.0596          | 0.9852   |
+| 0.1283        | 2.0   | 162  | 0.0360          | 0.9922   |
+| 0.1013        | 3.0   | 243  | 0.0305          | 0.9922   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d8758bf19ffc6134daba3db3820b65afde6f9791e428574a4c71e77ce455b6fc
+oid sha256:71c190502f8a548558ea43dcd0fb49e0f6845f8659c7d1463acd0efe9d4fe0e8
 size 110358212