Update README.md

README.md

@@ -21,15 +21,18 @@ This model is a fine-tuned version of [distilbert-base-multilingual-cased](https
 It achieves the following results on the evaluation set:
 - Loss: 0.0595
 - Accuracy: 0.9971
-- Weighted f1: 0.9971
-- Micro f1: 0.9971
-- Macro f1: 0.9977
-- Weighted recall: 0.9971
-- Micro recall: 0.9971
-- Macro recall: 0.9974
-- Weighted precision: 0.9971
-- Micro precision: 0.9971
-- Macro precision: 0.9981
+- F1
+  - Weighted: 0.9971
+  - Micro: 0.9971
+  - Macro: 0.9977
+- Recall
+  - Weighted: 0.9971
+  - Micro: 0.9971
+  - Macro: 0.9974
+- Precision
+  - Weighted: 0.9971
+  - Micro: 0.9971
+  - Macro: 0.9981
 
 ## Model description
 
@@ -72,7 +75,7 @@ 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|:--------:|:---------------:|:------------:|:------------:|:------------------:|:---------------:|:---------------:|
 | 1.0783        | 1.0   | 128  | 0.1544          | 0.9823   | 0.9819      | 0.9823   | 0.9806   | 0.9823          | 0.9823       | 0.9798       | 0.9847             | 0.9823          | 0.9852          |
 | 0.1189        | 2.0   | 256  | 0.0595          | 0.9971   | 0.9971      | 0.9971   | 0.9977   | 0.9971          | 0.9971       | 0.9974       | 0.9971             | 0.9971          | 0.9981          |