Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9756016042780749
+      value: 0.9953208556149733
 ---
 
 <!-- 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: 0.1034
-- Accuracy: 0.9756
+- Loss: 0.0162
+- Accuracy: 0.9953
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1072        | 1.0   | 374  | 0.1028          | 0.9689   |
-| 0.0579        | 2.0   | 748  | 0.0191          | 0.9943   |
-| 0.0124        | 3.0   | 1122 | 0.1034          | 0.9756   |
+| 0.0732        | 1.0   | 374  | 0.0210          | 0.9916   |
+| 0.0341        | 2.0   | 748  | 0.0152          | 0.9963   |
+| 0.0489        | 3.0   | 1122 | 0.0162          | 0.9953   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0eda367490ce670a923d9be1c29043841999840d687c343737c8b0836e2eafdc
+oid sha256:26727877210581c308406c55650222e4b855ed91014b049206af4b2da9e0c1c6
 size 110342832