Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.3333333333333333
+      value: 0.9762962962962963
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ 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: 2.0567
-- Accuracy: 0.3333
+- Loss: 0.0641
+- Accuracy: 0.9763
 
 ## Model description
 
@@ -66,10 +66,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.6667 | 1    | 2.1430          | 0.1905   |
-| No log        | 2.0    | 3    | 2.0567          | 0.3333   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.2668        | 1.0   | 190  | 0.1167          | 0.9630   |
+| 0.1794        | 2.0   | 380  | 0.0837          | 0.9711   |
+| 0.1539        | 3.0   | 570  | 0.0641          | 0.9763   |
 
 
 ### Framework versions