update model card README.md

README.md

@@ -19,11 +19,11 @@ 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:
-- Loss: 0.6217
-- Accuracy: 0.8601
-- F1: 0.8587
-- Precision: 0.8603
-- Recall: 0.8601
+- Loss: 0.5783
+- Accuracy: 0.8653
+- F1: 0.8726
+- Precision: 0.8851
+- Recall: 0.8653
 
 ## Model description
 
@@ -55,12 +55,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.1753        | 1.0   | 626  | 0.3718          | 0.8290   | 0.8323 | 0.8513    | 0.8290 |
-| 0.1849        | 2.0   | 1252 | 0.4400          | 0.8342   | 0.8309 | 0.8292    | 0.8342 |
-| 0.0853        | 3.0   | 1878 | 0.5032          | 0.8135   | 0.8171 | 0.8278    | 0.8135 |
-| 0.0046        | 4.0   | 2504 | 0.5403          | 0.8601   | 0.8615 | 0.8655    | 0.8601 |
-| 0.0002        | 5.0   | 3130 | 0.5898          | 0.8601   | 0.8587 | 0.8603    | 0.8601 |
-| 0.0002        | 6.0   | 3756 | 0.6217          | 0.8601   | 0.8587 | 0.8603    | 0.8601 |
+| 0.1024        | 1.0   | 626  | 0.4875          | 0.8187   | 0.8247 | 0.8725    | 0.8187 |
+| 0.1279        | 2.0   | 1252 | 0.4645          | 0.8187   | 0.8223 | 0.8295    | 0.8187 |
+| 0.0912        | 3.0   | 1878 | 0.4883          | 0.8497   | 0.8454 | 0.8462    | 0.8497 |
+| 0.0397        | 4.0   | 2504 | 0.5439          | 0.8238   | 0.8274 | 0.8342    | 0.8238 |
+| 0.0004        | 5.0   | 3130 | 0.5795          | 0.8601   | 0.8668 | 0.8787    | 0.8601 |
+| 0.0002        | 6.0   | 3756 | 0.5783          | 0.8653   | 0.8726 | 0.8851    | 0.8653 |
 
 
 ### Framework versions