Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9761904761904762
+      value: 0.9404761904761905
 ---
 
 <!-- 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: 0.3819
-- Accuracy: 0.9762
+- Loss: 0.2873
+- Accuracy: 0.9405
 
 ## Model description
 
@@ -68,8 +68,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 3    | 0.5338          | 0.8690   |
-| No log        | 2.0   | 6    | 0.3819          | 0.9762   |
+| No log        | 1.0   | 3    | 0.4959          | 0.7024   |
+| No log        | 2.0   | 6    | 0.2873          | 0.9405   |
 
 
 ### Framework versions