Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9740740740740741
+      value: 0.9751851851851852
 ---
 
 <!-- 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: 0.0727
-- Accuracy: 0.9741
+- Loss: 0.0749
+- Accuracy: 0.9752
 
 ## Model description
 
@@ -67,14 +67,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.252         | 1.0   | 190  | 0.1417          | 0.95     |
-| 0.1846        | 2.0   | 380  | 0.0792          | 0.9715   |
-| 0.1887        | 3.0   | 570  | 0.0727          | 0.9741   |
+| 0.2471        | 1.0   | 190  | 0.1429          | 0.9485   |
+| 0.1417        | 2.0   | 380  | 0.0858          | 0.9737   |
+| 0.1534        | 3.0   | 570  | 0.0749          | 0.9752   |
 
 
 ### Framework versions
 
-- Transformers 4.33.2
-- Pytorch 2.0.0+cu117
-- Datasets 2.14.5
+- Transformers 4.32.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
 - Tokenizers 0.13.3