Update README.md

README.md

@@ -36,15 +36,18 @@ This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https:
 It achieves the following results on the evaluation set:
 - Loss: 0.0014
 - Accuracy: 1.0
-- Weighted f1: 1.0
-- Micro f1: 1.0
-- Macro f1: 1.0
-- Weighted recall: 1.0
-- Micro recall: 1.0
-- Macro recall: 1.0
-- Weighted precision: 1.0
-- Micro precision: 1.0
-- Macro precision: 1.0
+- F1
+  - Weighted: 1.0
+  - Micro: 1.0
+  - Macro: 1.0
+- Recall
+  - Weighted: 1.0
+  - Micro: 1.0
+  - Macro: 1.0
+- Precision
+  - Weighted: 1.0
+  - Micro: 1.0
+  - Macro: 1.0
 
 ## Model description
 
@@ -79,7 +82,7 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted f1 | Micro f1 | Macro f1 | Weighted recall | Micro recall | Macro recall | Weighted precision | Micro precision | Macro precision |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted F1 | Micro F1 | Macro F1 | Weighted Recall | Micro Recall | Macro Recall | Weighted Precision | Micro Precision | Macro Precision |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|:--------:|:---------------:|:------------:|:------------:|:------------------:|:---------------:|:---------------:|
 | 0.2079        | 1.0   | 938  | 0.0193          | 0.996    | 0.9960      | 0.996    | 0.9960   | 0.996           | 0.996        | 0.9960       | 0.9960             | 0.996           | 0.9960          |
 | 0.0154        | 2.0   | 1876 | 0.0068          | 0.9987   | 0.9987      | 0.9987   | 0.9987   | 0.9987          | 0.9987       | 0.9987       | 0.9987             | 0.9987          | 0.9987          |