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: 0.3553
-- Accuracy: 0.8549
-- F1: 0.8560
-- Precision: 0.8595
-- Recall: 0.8549
+- Loss: 0.4513
+- Accuracy: 0.8601
+- F1: 0.8617
+- Precision: 0.8650
+- Recall: 0.8601
 
 ## Model description
 
@@ -55,10 +55,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.4563        | 1.0   | 626  | 0.4027          | 0.8342   | 0.8331 | 0.8792    | 0.8342 |
-| 0.2954        | 2.0   | 1252 | 0.3064          | 0.8860   | 0.8892 | 0.8988    | 0.8860 |
-| 0.1118        | 3.0   | 1878 | 0.3005          | 0.8705   | 0.8663 | 0.8699    | 0.8705 |
-| 0.0317        | 4.0   | 2504 | 0.3553          | 0.8549   | 0.8560 | 0.8595    | 0.8549 |
+| 0.1702        | 1.0   | 626  | 0.3922          | 0.8394   | 0.8381 | 0.8578    | 0.8394 |
+| 0.0647        | 2.0   | 1252 | 0.5615          | 0.8238   | 0.8248 | 0.8404    | 0.8238 |
+| 0.0111        | 3.0   | 1878 | 0.4316          | 0.8705   | 0.8684 | 0.8670    | 0.8705 |
+| 0.0034        | 4.0   | 2504 | 0.4513          | 0.8601   | 0.8617 | 0.8650    | 0.8601 |
 
 
 ### Framework versions