update model card README.md

README.md

@@ -1,5 +1,6 @@
 ---
 license: apache-2.0
+base_model: microsoft/swin-tiny-patch4-window7-224
 tags:
 - generated_from_trainer
 datasets:
@@ -21,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8289
+      value: 0.9751851851851852
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +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: 0.6467
-- Accuracy: 0.8289
+- Loss: 0.0797
+- Accuracy: 0.9752
 
 ## Model description
 
@@ -66,14 +67,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.7922        | 1.0   | 703  | 0.8853          | 0.7804   |
-| 1.4677        | 2.0   | 1406 | 0.7064          | 0.8124   |
-| 1.3005        | 3.0   | 2109 | 0.6467          | 0.8289   |
+| 0.284         | 1.0   | 190  | 0.1307          | 0.9559   |
+| 0.1839        | 2.0   | 380  | 0.1056          | 0.9681   |
+| 0.1339        | 3.0   | 570  | 0.0797          | 0.9752   |
 
 
 ### Framework versions
 
-- Transformers 4.28.0
+- Transformers 4.31.0
 - Pytorch 2.0.1+cu117
-- Datasets 2.12.0
+- Datasets 2.14.1
 - Tokenizers 0.13.3