update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.37186865267433983
+      value: 0.40830061693774533
 ---
 
 <!-- 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: 0.4123
-- F1: 0.3719
+- Loss: 0.5125
+- F1: 0.4083
 
 ## Model description
 
@@ -57,15 +57,20 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 8
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.6113        | 1.0   | 1313 | 0.5320          | 0.2107 |
-| 0.3942        | 2.0   | 2626 | 0.4888          | 0.2891 |
-| 0.2845        | 3.0   | 3939 | 0.4123          | 0.3719 |
+| Training Loss | Epoch | Step  | Validation Loss | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.6197        | 1.0   | 1313  | 0.5497          | 0.2008 |
+| 0.4235        | 2.0   | 2626  | 0.5097          | 0.2676 |
+| 0.3374        | 3.0   | 3939  | 0.4515          | 0.3353 |
+| 0.2796        | 4.0   | 5252  | 0.4399          | 0.3547 |
+| 0.2337        | 5.0   | 6565  | 0.4481          | 0.3540 |
+| 0.1967        | 6.0   | 7878  | 0.4657          | 0.3781 |
+| 0.1635        | 7.0   | 9191  | 0.4846          | 0.3942 |
+| 0.1356        | 8.0   | 10504 | 0.5125          | 0.4083 |
 
 
 ### Framework versions