update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5633802816901409
+      value: 0.5352112676056338
 ---
 
 <!-- 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: 0.6989
-- Accuracy: 0.5634
+- Loss: 0.6919
+- Accuracy: 0.5352
 
 ## Model description
 
@@ -61,11 +61,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 40   | 0.6926          | 0.4648   |
-| No log        | 2.0   | 80   | 0.6989          | 0.5634   |
-| No log        | 3.0   | 120  | 0.6870          | 0.5211   |
-| No log        | 4.0   | 160  | 0.6944          | 0.4930   |
-| No log        | 5.0   | 200  | 0.7056          | 0.4930   |
+| No log        | 1.0   | 17   | 0.7292          | 0.4366   |
+| No log        | 2.0   | 34   | 0.6919          | 0.5352   |
+| No log        | 3.0   | 51   | 0.7084          | 0.4648   |
+| No log        | 4.0   | 68   | 0.7152          | 0.5352   |
+| No log        | 5.0   | 85   | 0.7343          | 0.5211   |
 
 
 ### Framework versions