update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.37298165525403665
+      value: 0.2122585806255
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on the klue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4076
-- F1: 0.3730
+- Loss: 0.4057
+- F1: 0.2123
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.6084        | 1.0   | 876  | 0.5353          | 0.2118 |
-| 0.3911        | 2.0   | 1752 | 0.4691          | 0.3041 |
-| 0.2855        | 3.0   | 2628 | 0.4076          | 0.3730 |
+| 0.4952        | 1.0   | 876  | 0.4714          | 0.1416 |
+| 0.354         | 2.0   | 1752 | 0.4263          | 0.1849 |
+| 0.2812        | 3.0   | 2628 | 0.4057          | 0.2123 |
 
 
 ### Framework versions