update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Matthews Correlation
       type: matthews_correlation
-      value: 0.5886969865896993
+      value: 0.5788207437251082
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ 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 glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4033
-- Matthews Correlation: 0.5887
+- Loss: 1.2150
+- Matthews Correlation: 0.5788
 
 ## Model description
 
@@ -51,24 +51,26 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1.862333098312878e-05
-- train_batch_size: 4
+- learning_rate: 1.1521858230688484e-05
+- train_batch_size: 8
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 6
+- num_epochs: 8
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Matthews Correlation |
-|:-------------:|:-----:|:-----:|:---------------:|:--------------------:|
-| 0.5839        | 1.0   | 2138  | 0.5999          | 0.5036               |
-| 0.3907        | 2.0   | 4276  | 0.6959          | 0.5650               |
-| 0.2507        | 3.0   | 6414  | 1.0701          | 0.5606               |
-| 0.1433        | 4.0   | 8552  | 1.0833          | 0.5630               |
-| 0.1007        | 5.0   | 10690 | 1.2718          | 0.5760               |
-| 0.0429        | 6.0   | 12828 | 1.4033          | 0.5887               |
+| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
+| 0.4531        | 1.0   | 1069 | 0.4530          | 0.5275               |
+| 0.3349        | 2.0   | 2138 | 0.5377          | 0.5475               |
+| 0.2624        | 3.0   | 3207 | 0.8287          | 0.5574               |
+| 0.1903        | 4.0   | 4276 | 0.8971          | 0.5525               |
+| 0.1356        | 5.0   | 5345 | 0.9994          | 0.5662               |
+| 0.0861        | 6.0   | 6414 | 1.0434          | 0.5731               |
+| 0.0576        | 7.0   | 7483 | 1.1683          | 0.5735               |
+| 0.0504        | 8.0   | 8552 | 1.2150          | 0.5788               |
 
 
 ### Framework versions