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: 1.2503
+- Loss: 1.2449
 
 ## Model description
 
@@ -45,27 +45,27 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.0976        | 1.0   | 291  | 1.7064          |
-| 1.6388        | 2.0   | 582  | 1.4335          |
-| 1.4846        | 3.0   | 873  | 1.3750          |
-| 1.4003        | 4.0   | 1164 | 1.3749          |
-| 1.3393        | 5.0   | 1455 | 1.1970          |
-| 1.2848        | 6.0   | 1746 | 1.2826          |
-| 1.2385        | 7.0   | 2037 | 1.2652          |
-| 1.1974        | 8.0   | 2328 | 1.2158          |
-| 1.1653        | 9.0   | 2619 | 1.1808          |
-| 1.142         | 10.0  | 2910 | 1.2091          |
-| 1.13          | 11.0  | 3201 | 1.2147          |
-| 1.1051        | 12.0  | 3492 | 1.1668          |
-| 1.0802        | 13.0  | 3783 | 1.2550          |
-| 1.0781        | 14.0  | 4074 | 1.1659          |
-| 1.0644        | 15.0  | 4365 | 1.1272          |
-| 1.0618        | 16.0  | 4656 | 1.2503          |
+| 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          |
 
 
 ### Framework versions
 
-- Transformers 4.13.0
+- Transformers 4.23.1
 - Pytorch 1.12.1+cu113
-- Datasets 1.16.1
-- Tokenizers 0.10.3
+- Datasets 2.6.1
+- Tokenizers 0.13.1