update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.7454963587581449
+      value: 0.7508346444606471
 ---
 
 <!-- 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: 0.2609
-- F1: 0.7455
+- Loss: 0.2576
+- F1: 0.7508
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2642        | 1.0   | 1313 | 0.2467          | 0.7166 |
-| 0.1627        | 2.0   | 2626 | 0.2422          | 0.7450 |
-| 0.1047        | 3.0   | 3939 | 0.2609          | 0.7455 |
+| 0.2639        | 1.0   | 1313 | 0.2454          | 0.7213 |
+| 0.1623        | 2.0   | 2626 | 0.2428          | 0.7449 |
+| 0.1047        | 3.0   | 3939 | 0.2576          | 0.7508 |
 
 
 ### Framework versions