Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8009728415079044
+      value: 0.9207539521686259
 ---
 
 <!-- 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: 0.3679
-- Accuracy: 0.8010
+- Loss: 0.2055
+- Accuracy: 0.9208
 
 ## Model description
 
@@ -67,14 +67,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5941        | 1.0   | 694  | 0.4620          | 0.7458   |
-| 0.4836        | 2.0   | 1388 | 0.3887          | 0.7924   |
-| 0.4672        | 3.0   | 2082 | 0.3679          | 0.8010   |
+| 0.4956        | 1.0   | 694  | 0.3042          | 0.8765   |
+| 0.3772        | 2.0   | 1388 | 0.2573          | 0.9001   |
+| 0.3449        | 3.0   | 2082 | 0.2055          | 0.9208   |
 
 
 ### Framework versions
 
-- Transformers 4.35.0
-- Pytorch 1.12.1+cu113
-- Datasets 2.17.1
-- Tokenizers 0.14.1
+- Transformers 4.40.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.18.0
+- Tokenizers 0.19.1