update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.482472516075503
+      value: 0.5387265337720146
 ---
 
 <!-- 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: 0.4138
-- F1: 0.4825
+- Loss: 0.5702
+- F1: 0.5387
 
 ## Model description
 
@@ -57,15 +57,22 @@ 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: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.6174        | 1.0   | 876  | 0.5515          | 0.3334 |
-| 0.3878        | 2.0   | 1752 | 0.5132          | 0.3916 |
-| 0.2756        | 3.0   | 2628 | 0.4138          | 0.4825 |
+| 0.6251        | 1.0   | 876  | 0.5664          | 0.3295 |
+| 0.4171        | 2.0   | 1752 | 0.5318          | 0.3635 |
+| 0.3367        | 3.0   | 2628 | 0.4466          | 0.4371 |
+| 0.2757        | 4.0   | 3504 | 0.4940          | 0.4288 |
+| 0.2336        | 5.0   | 4380 | 0.4627          | 0.4514 |
+| 0.1987        | 6.0   | 5256 | 0.4666          | 0.4794 |
+| 0.1681        | 7.0   | 6132 | 0.4811          | 0.5112 |
+| 0.1424        | 8.0   | 7008 | 0.5087          | 0.5268 |
+| 0.1186        | 9.0   | 7884 | 0.5323          | 0.5362 |
+| 0.1006        | 10.0  | 8760 | 0.5702          | 0.5387 |
 
 
 ### Framework versions