update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Matthews Correlation
       type: matthews_correlation
-      value: 0.5279532549901665
+      value: 0.5396261051709696
 ---
 
 <!-- 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: 0.8562
-- Matthews Correlation: 0.5280
+- Loss: 0.7663
+- Matthews Correlation: 0.5396
 
 ## Model description
 
@@ -61,16 +61,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| 0.5278        | 1.0   | 535  | 0.5446          | 0.3896               |
-| 0.3522        | 2.0   | 1070 | 0.4997          | 0.5184               |
-| 0.2385        | 3.0   | 1605 | 0.6222          | 0.5251               |
-| 0.1676        | 4.0   | 2140 | 0.7747          | 0.5146               |
-| 0.1268        | 5.0   | 2675 | 0.8562          | 0.5280               |
+| 0.5281        | 1.0   | 535  | 0.5268          | 0.4071               |
+| 0.3503        | 2.0   | 1070 | 0.5074          | 0.5126               |
+| 0.2399        | 3.0   | 1605 | 0.6440          | 0.4977               |
+| 0.1807        | 4.0   | 2140 | 0.7663          | 0.5396               |
+| 0.1299        | 5.0   | 2675 | 0.8786          | 0.5192               |
 
 
 ### Framework versions
 
-- Transformers 4.16.2
-- Pytorch 1.9.1
-- Datasets 1.18.4
+- Transformers 4.18.0
+- Pytorch 1.10.0+cu111
+- Datasets 2.0.0
 - Tokenizers 0.11.6