update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7653429602888087
+      value: 0.7942238267148014
 ---
 
 <!-- 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 [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5774
-- Accuracy: 0.7653
+- Loss: 0.4925
+- Accuracy: 0.7942
 
 ## Model description
 
@@ -61,11 +61,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 156  | 0.6158          | 0.6606   |
-| No log        | 2.0   | 312  | 0.5496          | 0.7545   |
-| No log        | 3.0   | 468  | 0.5774          | 0.7653   |
-| 0.4599        | 4.0   | 624  | 0.9564          | 0.7184   |
-| 0.4599        | 5.0   | 780  | 0.8854          | 0.7545   |
+| No log        | 1.0   | 156  | 0.6364          | 0.6390   |
+| No log        | 2.0   | 312  | 0.5083          | 0.7653   |
+| No log        | 3.0   | 468  | 0.4925          | 0.7942   |
+| 0.4688        | 4.0   | 624  | 0.7455          | 0.7690   |
+| 0.4688        | 5.0   | 780  | 0.7634          | 0.7762   |
 
 
 ### Framework versions