update model card README.md

README.md

@@ -4,6 +4,9 @@ tags:
 - generated_from_trainer
 metrics:
 - accuracy
+- f1
+- precision
+- recall
 model-index:
 - name: vit-base-skin
   results: []
@@ -16,8 +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: 0.4524
-- Accuracy: 0.8705
+- Loss: 0.6272
+- Accuracy: 0.8549
+- F1: 0.8558
+- Precision: 0.8590
+- Recall: 0.8549
 
 ## Model description
 
@@ -47,12 +53,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4987        | 1.0   | 626  | 0.5481          | 0.8031   |
-| 0.3814        | 2.0   | 1252 | 0.3804          | 0.8912   |
-| 0.3182        | 3.0   | 1878 | 0.3915          | 0.8653   |
-| 0.067         | 4.0   | 2504 | 0.4524          | 0.8705   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.4385        | 1.0   | 626  | 0.4796          | 0.8290   | 0.8273 | 0.8726    | 0.8290 |
+| 0.3573        | 2.0   | 1252 | 0.4745          | 0.8549   | 0.8581 | 0.8651    | 0.8549 |
+| 0.1444        | 3.0   | 1878 | 0.6086          | 0.8394   | 0.8406 | 0.8440    | 0.8394 |
+| 0.0055        | 4.0   | 2504 | 0.6272          | 0.8549   | 0.8558 | 0.8590    | 0.8549 |
 
 
 ### Framework versions