update model card README.md

README.md

@@ -1,6 +1,5 @@
 ---
 license: apache-2.0
-base_model: microsoft/swin-tiny-patch4-window7-224
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9840740740740741
+      value: 0.9358974358974359
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +31,8 @@ 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: 0.0557
-- Accuracy: 0.9841
+- Loss: 0.1772
+- Accuracy: 0.9359
 
 ## Model description
 
@@ -67,14 +66,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2386        | 1.0   | 190  | 0.0965          | 0.9693   |
-| 0.1616        | 2.0   | 380  | 0.0751          | 0.9741   |
-| 0.1469        | 3.0   | 570  | 0.0557          | 0.9841   |
+| 0.2447        | 0.99  | 98   | 0.1806          | 0.9323   |
+| 0.1986        | 1.99  | 197  | 0.1772          | 0.9359   |
+| 0.1933        | 2.98  | 294  | 0.1772          | 0.9359   |
 
 
 ### Framework versions
 
-- Transformers 4.33.1
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.5
+- Transformers 4.30.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
 - Tokenizers 0.13.3