update model card README.md

README.md

@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5146
-- Accuracy: 0.8991
-- F1: 0.9007
+- Loss: 0.5705
+- Accuracy: 0.8896
+- F1: 0.8904
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5698        | 1.0   | 159  | 0.4079          | 0.8044   | 0.7804 |
-| 0.331         | 2.0   | 318  | 0.3113          | 0.8580   | 0.8617 |
-| 0.1909        | 3.0   | 477  | 0.4238          | 0.9085   | 0.9075 |
-| 0.1129        | 4.0   | 636  | 0.4579          | 0.9117   | 0.9124 |
-| 0.0546        | 5.0   | 795  | 0.5146          | 0.8991   | 0.9007 |
+| 0.5702        | 1.0   | 159  | 0.5156          | 0.7445   | 0.7553 |
+| 0.3384        | 2.0   | 318  | 0.2883          | 0.8612   | 0.8641 |
+| 0.2045        | 3.0   | 477  | 0.3699          | 0.8991   | 0.8977 |
+| 0.1177        | 4.0   | 636  | 0.5172          | 0.8959   | 0.8969 |
+| 0.0465        | 5.0   | 795  | 0.5705          | 0.8896   | 0.8904 |
 
 
 ### Framework versions