update model card README.md

README.md

@@ -14,7 +14,7 @@ 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: 1.2449
+- Loss: 1.2456
 
 ## Model description
 
@@ -45,27 +45,27 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.099         | 1.0   | 291  | 1.6946          |
-| 1.6396        | 2.0   | 582  | 1.4288          |
-| 1.4875        | 3.0   | 873  | 1.3893          |
-| 1.399         | 4.0   | 1164 | 1.3812          |
-| 1.341         | 5.0   | 1455 | 1.2004          |
-| 1.2803        | 6.0   | 1746 | 1.2738          |
-| 1.2397        | 7.0   | 2037 | 1.2645          |
-| 1.199         | 8.0   | 2328 | 1.2092          |
-| 1.166         | 9.0   | 2619 | 1.1871          |
-| 1.1406        | 10.0  | 2910 | 1.2244          |
-| 1.1293        | 11.0  | 3201 | 1.2061          |
-| 1.1037        | 12.0  | 3492 | 1.1621          |
-| 1.0824        | 13.0  | 3783 | 1.2540          |
-| 1.0738        | 14.0  | 4074 | 1.1703          |
-| 1.0625        | 15.0  | 4365 | 1.1195          |
-| 1.0628        | 16.0  | 4656 | 1.2449          |
+| 2.0986        | 1.0   | 291  | 1.6929          |
+| 1.6401        | 2.0   | 582  | 1.4304          |
+| 1.4881        | 3.0   | 873  | 1.3916          |
+| 1.4           | 4.0   | 1164 | 1.3796          |
+| 1.3416        | 5.0   | 1455 | 1.2012          |
+| 1.2807        | 6.0   | 1746 | 1.2733          |
+| 1.2396        | 7.0   | 2037 | 1.2646          |
+| 1.1993        | 8.0   | 2328 | 1.2098          |
+| 1.1661        | 9.0   | 2619 | 1.1862          |
+| 1.1406        | 10.0  | 2910 | 1.2223          |
+| 1.1294        | 11.0  | 3201 | 1.2056          |
+| 1.1042        | 12.0  | 3492 | 1.1655          |
+| 1.0827        | 13.0  | 3783 | 1.2525          |
+| 1.0738        | 14.0  | 4074 | 1.1685          |
+| 1.0626        | 15.0  | 4365 | 1.1182          |
+| 1.0629        | 16.0  | 4656 | 1.2456          |
 
 
 ### Framework versions
 
-- Transformers 4.23.1
-- Pytorch 1.12.1+cu113
-- Datasets 2.6.1
-- Tokenizers 0.13.1
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2