update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7545126353790613
+      value: 0.7581227436823105
 ---
 
 <!-- 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-base-v2](https://huggingface.co/albert-base-v2) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9921
-- Accuracy: 0.7545
+- Loss: 1.2496
+- Accuracy: 0.7581
 
 ## Model description
 
@@ -61,11 +61,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 249  | 0.6481          | 0.6715   |
-| No log        | 2.0   | 498  | 0.6358          | 0.7220   |
-| 0.5882        | 3.0   | 747  | 0.6455          | 0.7509   |
-| 0.5882        | 4.0   | 996  | 0.9921          | 0.7545   |
-| 0.2871        | 5.0   | 1245 | 1.2464          | 0.7437   |
+| No log        | 1.0   | 249  | 0.5914          | 0.6751   |
+| No log        | 2.0   | 498  | 0.5843          | 0.7184   |
+| 0.5873        | 3.0   | 747  | 0.6925          | 0.7220   |
+| 0.5873        | 4.0   | 996  | 1.1613          | 0.7545   |
+| 0.2149        | 5.0   | 1245 | 1.2496          | 0.7581   |
 
 
 ### Framework versions