update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Matthews Correlation
       type: matthews_correlation
-      value: 0.54552128338247
+      value: 0.5258663312307151
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +29,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8475
-- Matthews Correlation: 0.5455
+- Loss: 0.7523
+- Matthews Correlation: 0.5259
 
 ## Model description
 
@@ -61,16 +61,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| 0.5265        | 1.0   | 535  | 0.5029          | 0.4210               |
-| 0.3496        | 2.0   | 1070 | 0.5135          | 0.5158               |
-| 0.2352        | 3.0   | 1605 | 0.6103          | 0.5150               |
-| 0.1769        | 4.0   | 2140 | 0.7258          | 0.5448               |
-| 0.1286        | 5.0   | 2675 | 0.8475          | 0.5455               |
+| 0.533         | 1.0   | 535  | 0.5318          | 0.3887               |
+| 0.3562        | 2.0   | 1070 | 0.5145          | 0.5100               |
+| 0.2429        | 3.0   | 1605 | 0.6558          | 0.4888               |
+| 0.1831        | 4.0   | 2140 | 0.7523          | 0.5259               |
+| 0.1352        | 5.0   | 2675 | 0.8406          | 0.5182               |
 
 
 ### Framework versions
 
 - Transformers 4.12.3
-- Pytorch 1.9.0+cu111
+- Pytorch 1.10.0+cu111
 - Datasets 1.15.1
 - Tokenizers 0.10.3