update model card README.md

README.md

@@ -1,4 +1,5 @@
 ---
+license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
@@ -28,7 +29,7 @@ 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: 1.3395
+- Loss: 0.9921
 - Accuracy: 0.7545
 
 ## Model description
@@ -60,11 +61,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 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   |
+| 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   |
 
 
 ### Framework versions