Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9578552356209857
+      value: 0.959752766997269
 ---
 
 <!-- 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: 0.1725
-- Accuracy: 0.9579
+- Loss: 0.1659
+- Accuracy: 0.9598
 
 ## Model description
 
@@ -65,16 +65,16 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step  | Validation Loss | Accuracy |
-|:-------------:|:------:|:-----:|:---------------:|:--------:|
-| 0.2809        | 1.0000 | 31177 | 0.3357          | 0.9104   |
-| 0.3831        | 2.0000 | 62354 | 0.2432          | 0.9401   |
-| 0.3727        | 3.0000 | 93531 | 0.1725          | 0.9579   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.6782        | 1.0   | 31306 | 0.3116          | 0.9094   |
+| 0.2155        | 2.0   | 62612 | 0.2301          | 0.9399   |
+| 0.1997        | 3.0   | 93918 | 0.1659          | 0.9598   |
 
 
 ### Framework versions
 
-- Transformers 4.40.2
-- Pytorch 1.13.1+cu116
-- Datasets 2.19.1
-- Tokenizers 0.19.1
+- Transformers 4.39.0
+- Pytorch 2.2.1+cpu
+- Datasets 2.18.0
+- Tokenizers 0.15.2