update model card README.md

README.md

@@ -19,11 +19,11 @@ 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: 0.1186
-- Precision: 0.7804
-- Recall: 0.8401
-- F1: 0.8091
-- Accuracy: 0.9720
+- Loss: 0.1196
+- Precision: 0.7872
+- Recall: 0.8292
+- F1: 0.8077
+- Accuracy: 0.9722
 
 ## Model description
 
@@ -54,10 +54,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1234        | 1.0   | 1380 | 0.1014          | 0.6695    | 0.8030 | 0.7302 | 0.9622   |
-| 0.0659        | 2.0   | 2760 | 0.0963          | 0.7225    | 0.8438 | 0.7785 | 0.9677   |
-| 0.037         | 3.0   | 4140 | 0.0976          | 0.7614    | 0.8322 | 0.7952 | 0.9706   |
-| 0.0205        | 4.0   | 5520 | 0.1186          | 0.7804    | 0.8401 | 0.8091 | 0.9720   |
+| 0.1243        | 1.0   | 1380 | 0.0932          | 0.6752    | 0.8222 | 0.7415 | 0.9635   |
+| 0.0624        | 2.0   | 2760 | 0.0890          | 0.7298    | 0.8368 | 0.7797 | 0.9686   |
+| 0.0405        | 3.0   | 4140 | 0.1029          | 0.7792    | 0.8356 | 0.8064 | 0.9715   |
+| 0.0226        | 4.0   | 5520 | 0.1196          | 0.7872    | 0.8292 | 0.8077 | 0.9722   |
 
 
 ### Framework versions