update model card README.md

README.md

@@ -31,7 +31,7 @@ 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 the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0995
+- Loss: 2.0859
 - Accuracy: 0.1313
 
 ## Model description
@@ -51,7 +51,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-08
+- learning_rate: 5e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 40   | 2.0995          | 0.1313   |
-| No log        | 2.0   | 80   | 2.0994          | 0.1313   |
-| No log        | 3.0   | 120  | 2.0995          | 0.1313   |
+| No log        | 1.0   | 40   | 2.0859          | 0.1313   |
+| No log        | 2.0   | 80   | 2.0857          | 0.1313   |
+| No log        | 3.0   | 120  | 2.0854          | 0.1313   |
 
 
 ### Framework versions