Model save

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Accuracy: 0.9699
 - Loss: 0.3436
+- Accuracy: 0.9699
 
 ## Model description
 
@@ -47,13 +47,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Accuracy | Validation Loss |
-|:-------------:|:-----:|:----:|:--------:|:---------------:|
-| 0.9867        | 1.0   | 17   | 0.9248   | 0.7573          |
-| 0.6898        | 2.0   | 34   | 0.9624   | 0.5536          |
-| 0.4979        | 3.0   | 51   | 0.9699   | 0.4195          |
-| 0.4541        | 4.0   | 68   | 0.9624   | 0.3605          |
-| 0.3922        | 5.0   | 85   | 0.9699   | 0.3436          |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.9867        | 1.0   | 17   | 0.7571          | 0.9248   |
+| 0.69          | 2.0   | 34   | 0.5541          | 0.9624   |
+| 0.4981        | 3.0   | 51   | 0.4203          | 0.9699   |
+| 0.454         | 4.0   | 68   | 0.3609          | 0.9624   |
+| 0.3922        | 5.0   | 85   | 0.3436          | 0.9699   |
 
 
 ### Framework versions