Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.2283464566929134
+      value: 0.3228346456692913
 ---
 
 <!-- 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: nan
-- Accuracy: 0.2283
+- Loss: 24.0114
+- Accuracy: 0.3228
 
 ## Model description
 
@@ -67,8 +67,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 9    | nan             | 0.2283   |
-| 0.0           | 2.0   | 18   | nan             | 0.2283   |
+| No log        | 1.0   | 9    | 57.1538         | 0.2283   |
+| 101.1385      | 2.0   | 18   | 24.0114         | 0.3228   |
 
 
 ### Framework versions