Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9809264305177112
+      value: 0.6746987951807228
 ---
 
 <!-- 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 [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0786
-- Accuracy: 0.9809
+- Loss: 1.1532
+- Accuracy: 0.6747
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5888        | 1.0   | 26   | 0.1720          | 0.9700   |
-| 0.1027        | 2.0   | 52   | 0.0786          | 0.9809   |
-| 0.0809        | 3.0   | 78   | 0.0730          | 0.9809   |
+| 1.8046        | 1.0   | 35   | 1.5308          | 0.6004   |
+| 1.1931        | 2.0   | 70   | 1.2080          | 0.6526   |
+| 1.0292        | 3.0   | 105  | 1.1532          | 0.6747   |
 
 
 ### Framework versions