Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9498432601880877
+      value: 0.8807692307692307
 ---
 
 <!-- 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: 0.1712
-- Accuracy: 0.9498
+- Loss: 0.3335
+- Accuracy: 0.8808
 
 ## Model description
 
@@ -65,11 +65,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.1146        | 1.0   | 45   | 0.6722          | 0.7774   |
-| 0.5419        | 2.0   | 90   | 0.2222          | 0.9342   |
-| 0.4282        | 3.0   | 135  | 0.1712          | 0.9498   |
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 1.0835        | 0.9796 | 36   | 0.7885          | 0.6885   |
+| 0.6076        | 1.9864 | 73   | 0.5073          | 0.8096   |
+| 0.499         | 2.9388 | 108  | 0.3335          | 0.8808   |
 
 
 ### Framework versions