Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9612
+      value: 0.9592
 ---
 
 <!-- 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 cifar10 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1218
-- Accuracy: 0.9612
+- Loss: 0.1276
+- Accuracy: 0.9592
 
 ## Model description
 
@@ -67,14 +67,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6141        | 1.0   | 88   | 0.2073          | 0.931    |
-| 0.4767        | 2.0   | 176  | 0.1350          | 0.959    |
-| 0.4153        | 3.0   | 264  | 0.1218          | 0.9612   |
+| 0.6304        | 1.0   | 88   | 0.2197          | 0.93     |
+| 0.4802        | 2.0   | 176  | 0.1405          | 0.9558   |
+| 0.4114        | 3.0   | 264  | 0.1276          | 0.9592   |
 
 
 ### Framework versions
 
-- Transformers 4.33.1
+- Transformers 4.34.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
-- Tokenizers 0.13.3
+- Tokenizers 0.14.0