update model card README.md

README.md

@@ -4,6 +4,7 @@ tags:
 - generated_from_trainer
 metrics:
 - accuracy
+- f1
 model-index:
 - name: vit-accident-image
   results: []
@@ -16,8 +17,9 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2051
-- Accuracy: 0.9388
+- Loss: 0.2255
+- Accuracy: 0.9286
+- F1: 0.9286
 
 ## Model description
 
@@ -46,13 +48,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5025        | 2.0   | 100  | 0.3267          | 0.8776   |
-| 0.204         | 4.0   | 200  | 0.2941          | 0.9082   |
-| 0.1425        | 6.0   | 300  | 0.3407          | 0.9082   |
-| 0.091         | 8.0   | 400  | 0.1722          | 0.9592   |
-| 0.0328        | 10.0  | 500  | 0.2051          | 0.9388   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.3546        | 2.0   | 100  | 0.2327          | 0.9184   | 0.9184 |
+| 0.1654        | 4.0   | 200  | 0.2075          | 0.9388   | 0.9388 |
+| 0.0146        | 6.0   | 300  | 0.2497          | 0.9388   | 0.9387 |
+| 0.0317        | 8.0   | 400  | 0.2179          | 0.9286   | 0.9285 |
+| 0.0192        | 10.0  | 500  | 0.2255          | 0.9286   | 0.9286 |
 
 
 ### Framework versions