update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.822
+      value: 0.845
 ---
 
 <!-- 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: 0.6317
-- Accuracy: 0.822
+- Loss: 0.5803
+- Accuracy: 0.845
 
 ## Model description
 
@@ -67,18 +67,18 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.2595        | 0.14  | 10   | 1.9865          | 0.38     |
-| 1.7643        | 0.28  | 20   | 1.3822          | 0.597    |
-| 1.3856        | 0.43  | 30   | 0.9637          | 0.718    |
-| 1.1424        | 0.57  | 40   | 0.8017          | 0.771    |
-| 1.0789        | 0.71  | 50   | 0.6891          | 0.804    |
-| 1.0219        | 0.85  | 60   | 0.6477          | 0.812    |
-| 0.9578        | 0.99  | 70   | 0.6317          | 0.822    |
+| 2.2602        | 0.14  | 10   | 1.9846          | 0.365    |
+| 1.8138        | 0.28  | 20   | 1.4061          | 0.614    |
+| 1.3707        | 0.43  | 30   | 0.9769          | 0.702    |
+| 1.1183        | 0.57  | 40   | 0.7637          | 0.78     |
+| 0.9688        | 0.71  | 50   | 0.6487          | 0.812    |
+| 0.9258        | 0.85  | 60   | 0.6009          | 0.838    |
+| 0.8917        | 0.99  | 70   | 0.5803          | 0.845    |
 
 
 ### Framework versions
 
-- Transformers 4.35.0
-- Pytorch 2.1.1
+- Transformers 4.31.0
+- Pytorch 1.10.1+cu111
 - Datasets 2.14.6
-- Tokenizers 0.14.1
+- Tokenizers 0.13.3