update model card README.md

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the conll2003 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0712
-- Precision: 0.8982
-- Recall: 0.9146
-- F1: 0.9063
-- Accuracy: 0.9794
+- Loss: 0.0714
+- Precision: 0.8968
+- Recall: 0.9138
+- F1: 0.9052
+- Accuracy: 0.9796
 
 ## Model description
 
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1048        | 1.0   | 219  | 0.0906          | 0.8689    | 0.8808 | 0.8748 | 0.9740   |
-| 0.1335        | 2.0   | 438  | 0.0739          | 0.8989    | 0.9080 | 0.9034 | 0.9789   |
-| 0.0463        | 3.0   | 657  | 0.0712          | 0.8982    | 0.9146 | 0.9063 | 0.9794   |
+| 0.1048        | 1.0   | 219  | 0.0948          | 0.8606    | 0.8813 | 0.8708 | 0.9734   |
+| 0.1062        | 2.0   | 438  | 0.0742          | 0.8964    | 0.9072 | 0.9018 | 0.9789   |
+| 0.0458        | 3.0   | 657  | 0.0714          | 0.8968    | 0.9138 | 0.9052 | 0.9796   |
 
 
 ### Framework versions