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: 0.4526
-- Accuracy: 0.8756
-- F1: 0.8760
-- Precision: 0.8781
-- Recall: 0.8756
+- Loss: 0.4406
+- Accuracy: 0.8705
+- F1: 0.8724
+- Precision: 0.8771
+- Recall: 0.8705
 
 ## Model description
 
@@ -55,10 +55,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.1259        | 1.0   | 626  | 0.3835          | 0.8342   | 0.8404 | 0.8538    | 0.8342 |
-| 0.156         | 2.0   | 1252 | 0.3702          | 0.8756   | 0.8658 | 0.8652    | 0.8756 |
-| 0.0349        | 3.0   | 1878 | 0.4699          | 0.8705   | 0.8715 | 0.8771    | 0.8705 |
-| 0.0005        | 4.0   | 2504 | 0.4526          | 0.8756   | 0.8760 | 0.8781    | 0.8756 |
+| 0.5676        | 1.0   | 626  | 0.5088          | 0.8342   | 0.8242 | 0.8626    | 0.8342 |
+| 0.4883        | 2.0   | 1252 | 0.4589          | 0.8446   | 0.8469 | 0.8512    | 0.8446 |
+| 0.3582        | 3.0   | 1878 | 0.3833          | 0.8601   | 0.8594 | 0.8740    | 0.8601 |
+| 0.0953        | 4.0   | 2504 | 0.4406          | 0.8705   | 0.8724 | 0.8771    | 0.8705 |
 
 
 ### Framework versions