Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5846153846153846
+      value: 0.5236051502145923
 ---
 
 <!-- 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: 0.9198
-- Accuracy: 0.5846
+- Loss: 1.0571
+- Accuracy: 0.5236
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.2821        | 0.96  | 16   | 1.0259          | 0.5413   |
-| 1.0059        | 1.97  | 33   | 0.9510          | 0.5566   |
-| 0.9652        | 2.87  | 48   | 0.9198          | 0.5846   |
+| 1.1872        | 0.99  | 49   | 1.2194          | 0.4320   |
+| 1.0998        | 1.99  | 98   | 1.0917          | 0.4807   |
+| 1.0623        | 2.98  | 147  | 1.0571          | 0.5236   |
 
 
 ### Framework versions