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-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7819
-- F1: 0.8708
-- Accuracy: 0.8707
-- Precision: 0.8713
-- Recall: 0.8707
+- Loss: 0.8976
+- F1: 0.8595
+- Accuracy: 0.8592
+- Precision: 0.8600
+- Recall: 0.8592
 
 ## Model description
 
@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:|
-| 0.476         | 1.0   | 1022 | 0.4611          | 0.8268 | 0.8283   | 0.8289    | 0.8283 |
-| 0.3193        | 2.0   | 2044 | 0.4427          | 0.8565 | 0.8565   | 0.8565    | 0.8565 |
-| 0.1926        | 3.0   | 3066 | 0.5921          | 0.8583 | 0.8587   | 0.8585    | 0.8587 |
-| 0.1104        | 4.0   | 4088 | 0.6870          | 0.8677 | 0.8674   | 0.8695    | 0.8674 |
-| 0.0544        | 5.0   | 5110 | 0.7819          | 0.8708 | 0.8707   | 0.8713    | 0.8707 |
+| 0.4782        | 1.0   | 1022 | 0.4979          | 0.8357 | 0.8370   | 0.8376    | 0.8370 |
+| 0.3233        | 2.0   | 2044 | 0.5273          | 0.8568 | 0.8571   | 0.8568    | 0.8571 |
+| 0.1874        | 3.0   | 3066 | 0.6467          | 0.8531 | 0.8533   | 0.8534    | 0.8533 |
+| 0.1048        | 4.0   | 4088 | 0.7924          | 0.8600 | 0.8598   | 0.8608    | 0.8598 |
+| 0.0556        | 5.0   | 5110 | 0.8976          | 0.8595 | 0.8592   | 0.8600    | 0.8592 |
 
 
 ### Framework versions