update model card README.md

README.md

@@ -6,7 +6,7 @@ tags:
 datasets:
 - glue
 metrics:
-- matthews_correlation
+- accuracy
 model-index:
 - name: sentence-acceptability
   results:
@@ -20,9 +20,9 @@ model-index:
       split: validation
       args: cola
     metrics:
-    - name: Matthews Correlation
-      type: matthews_correlation
-      value: 0.5520738806744706
+    - name: Accuracy
+      type: accuracy
+      value: 0.8216682646212847
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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: 0.8206
-- Matthews Correlation: 0.5521
+- Loss: 0.8257
+- Accuracy: 0.8217
 
 ## Model description
 
@@ -62,11 +62,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
-|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| 0.5111        | 1.0   | 1069 | 0.6557          | 0.4033               |
-| 0.3554        | 2.0   | 2138 | 0.7236          | 0.5466               |
-| 0.2018        | 3.0   | 3207 | 0.8206          | 0.5521               |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4868        | 1.0   | 1069 | 0.6279          | 0.7862   |
+| 0.3037        | 2.0   | 2138 | 0.6184          | 0.8140   |
+| 0.177         | 3.0   | 3207 | 0.8257          | 0.8217   |
 
 
 ### Framework versions