update model card README.md

README.md

@@ -1,5 +1,4 @@
 ---
-license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
@@ -19,7 +18,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.779783393501805
+      value: 0.7545126353790613
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +28,8 @@ 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: 0.9442
-- Accuracy: 0.7798
+- Loss: 1.3395
+- Accuracy: 0.7545
 
 ## Model description
 
@@ -61,11 +60,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 249  | 0.6476          | 0.6354   |
-| No log        | 2.0   | 498  | 0.5930          | 0.7292   |
-| 0.5785        | 3.0   | 747  | 0.5857          | 0.7581   |
-| 0.5785        | 4.0   | 996  | 0.9442          | 0.7798   |
-| 0.2744        | 5.0   | 1245 | 1.1429          | 0.7726   |
+| No log        | 1.0   | 249  | 0.6305          | 0.6859   |
+| No log        | 2.0   | 498  | 0.6054          | 0.7040   |
+| 0.5964        | 3.0   | 747  | 0.7142          | 0.7437   |
+| 0.5964        | 4.0   | 996  | 1.2917          | 0.7437   |
+| 0.2546        | 5.0   | 1245 | 1.3395          | 0.7545   |
 
 
 ### Framework versions