update model card README.md

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0602
-- Precision: 0.9370
-- Recall: 0.9509
-- F1: 0.9439
-- Accuracy: 0.9864
+- Loss: 0.0592
+- Precision: 0.9332
+- Recall: 0.9497
+- F1: 0.9414
+- Accuracy: 0.9862
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0803        | 1.0   | 1756 | 0.0857          | 0.9059    | 0.9302 | 0.9179 | 0.9802   |
-| 0.0413        | 2.0   | 3512 | 0.0578          | 0.9248    | 0.9483 | 0.9364 | 0.9858   |
-| 0.0259        | 3.0   | 5268 | 0.0602          | 0.9370    | 0.9509 | 0.9439 | 0.9864   |
+| 0.0779        | 1.0   | 1756 | 0.0688          | 0.9155    | 0.9371 | 0.9261 | 0.9824   |
+| 0.0401        | 2.0   | 3512 | 0.0550          | 0.9328    | 0.9483 | 0.9405 | 0.9860   |
+| 0.0267        | 3.0   | 5268 | 0.0592          | 0.9332    | 0.9497 | 0.9414 | 0.9862   |
 
 
 ### Framework versions