update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9788888888888889
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +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: 0.0685
-- Accuracy: 0.9789
+- Loss: 0.4813
+- Accuracy: 1.0
 
 ## Model description
 
@@ -66,14 +66,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2754        | 1.0   | 190  | 0.1179          | 0.9611   |
-| 0.1709        | 2.0   | 380  | 0.0944          | 0.9693   |
-| 0.1403        | 3.0   | 570  | 0.0685          | 0.9789   |
+| No log        | 1.0   | 1    | 0.6144          | 0.6667   |
+| No log        | 2.0   | 2    | 0.5317          | 1.0      |
+| No log        | 3.0   | 3    | 0.4813          | 1.0      |
 
 
 ### Framework versions
 
-- Transformers 4.21.1
+- Transformers 4.21.2
 - Pytorch 1.12.1+cu113
 - Datasets 2.4.0
 - Tokenizers 0.12.1