update model card README.md

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5933
-- Matthews Correlation: 0.6146
+- Loss: 0.6011
+- Matthews Correlation: 0.6344
 
 ## Model description
 
@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| 0.4826        | 1.0   | 534  | 0.3921          | 0.5807               |
-| 0.2926        | 2.0   | 1068 | 0.4358          | 0.5755               |
-| 0.0543        | 3.0   | 1602 | 0.4971          | 0.6019               |
-| 0.1093        | 4.0   | 2136 | 0.5308          | 0.5993               |
-| 0.2379        | 5.0   | 2670 | 0.5933          | 0.6146               |
+| 0.6506        | 1.0   | 534  | 0.4192          | 0.5847               |
+| 0.4501        | 2.0   | 1068 | 0.4907          | 0.5729               |
+| 0.0864        | 3.0   | 1602 | 0.5225          | 0.6069               |
+| 0.5844        | 4.0   | 2136 | 0.5405          | 0.6272               |
+| 0.2561        | 5.0   | 2670 | 0.6011          | 0.6344               |
 
 
 ### Framework versions
 
 - Transformers 4.20.1
 - Pytorch 1.10.0+cpu
-- Datasets 2.7.0
+- Datasets 2.7.1
 - Tokenizers 0.12.1