Update README.md

README.md

@@ -10,19 +10,23 @@ model-index:
 
 # codebert-base-Password_Strength_Classifier
 
-This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on the None dataset.
+This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base).
+
 It achieves the following results on the evaluation set:
 - Loss: 0.0077
 - Accuracy: 0.9975
-- Weighted f1: 0.9975
-- Micro f1: 0.9975
-- Macro f1: 0.9963
-- Weighted recall: 0.9975
-- Micro recall: 0.9975
-- Macro recall: 0.9978
-- Weighted precision: 0.9975
-- Micro precision: 0.9975
-- Macro precision: 0.9948
+- F1
+  - Weighted: 0.9975
+  - Micro: 0.9975
+  - Macro: 0.9963
+- Recall
+  - Weighted: 0.9975
+  - Micro: 0.9975
+  - Macro: 0.9978
+- Precision
+  - Weighted: 0.9975
+  - Macro: 0.9948
+  - Micro: 0.9975
 
 ## Model description
 
@@ -56,7 +60,7 @@ 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 |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:-----------:|:--------:|:--------:|:---------------:|:------------:|:------------:|:------------------:|:---------------:|:---------------:|
 | 0.0438        | 1.0   | 8371  | 0.0112          | 0.9956   | 0.9956      | 0.9956   | 0.9935   | 0.9956          | 0.9956       | 0.9963       | 0.9957             | 0.9956          | 0.9908          |
 | 0.0133        | 2.0   | 16742 | 0.0092          | 0.9966   | 0.9967      | 0.9966   | 0.9951   | 0.9966          | 0.9966       | 0.9966       | 0.9967             | 0.9966          | 0.9935          |