update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.631768953068592
+      value: 0.5487364620938628
 ---
 
 <!-- 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 [albert-large-v2](https://huggingface.co/albert-large-v2) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6535
-- Accuracy: 0.6318
+- Loss: 0.6827
+- Accuracy: 0.5487
 
 ## Model description
 
@@ -61,11 +61,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 16   | 0.6827          | 0.5596   |
-| No log        | 2.0   | 32   | 0.6692          | 0.5848   |
-| No log        | 3.0   | 48   | 0.6589          | 0.5740   |
-| No log        | 4.0   | 64   | 0.6535          | 0.6318   |
-| No log        | 5.0   | 80   | 0.6605          | 0.6318   |
+| No log        | 1.0   | 18   | 0.6954          | 0.5271   |
+| No log        | 2.0   | 36   | 0.6860          | 0.5379   |
+| No log        | 3.0   | 54   | 0.6827          | 0.5487   |
+| No log        | 4.0   | 72   | 0.7179          | 0.5235   |
+| No log        | 5.0   | 90   | 0.7504          | 0.5379   |
 
 
 ### Framework versions