Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 1.0
+      value: 0.9940257352941176
 ---
 
 <!-- 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: 0.6451
-- Accuracy: 1.0
+- Loss: 0.0188
+- Accuracy: 0.9940
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 0.9707          | 0.5      |
-| No log        | 2.0   | 2    | 0.7458          | 1.0      |
-| No log        | 3.0   | 3    | 0.6451          | 1.0      |
+| 0.0616        | 1.0   | 153  | 0.0168          | 0.9945   |
+| 0.0374        | 2.0   | 306  | 0.0225          | 0.9931   |
+| 0.0263        | 3.0   | 459  | 0.0188          | 0.9940   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bcf1a3b57a2adce14147bf365308afc2a5a870370b9ac42d6791ee6eca274d1f
+oid sha256:083161715ef6033b8971a85a54a4e063f92837171b2aac5e51b52b4da597ec0e
 size 110345908