update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.40124825490679145
+      value: 0.42944299183899853
 ---
 
 <!-- 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: 0.4238
-- F1: 0.4012
+- Loss: 0.5377
+- F1: 0.4294
 
 ## Model description
 
@@ -57,17 +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: 5
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.6124        | 1.0   | 876  | 0.5465          | 0.1948 |
-| 0.4103        | 2.0   | 1752 | 0.5015          | 0.2683 |
-| 0.3181        | 3.0   | 2628 | 0.4354          | 0.3368 |
-| 0.2513        | 4.0   | 3504 | 0.4192          | 0.3835 |
-| 0.2009        | 5.0   | 4380 | 0.4238          | 0.4012 |
+| 0.6149        | 1.0   | 876  | 0.5522          | 0.1925 |
+| 0.4204        | 2.0   | 1752 | 0.5182          | 0.2602 |
+| 0.3368        | 3.0   | 2628 | 0.4434          | 0.3151 |
+| 0.2808        | 4.0   | 3504 | 0.4554          | 0.3265 |
+| 0.2422        | 5.0   | 4380 | 0.4239          | 0.3567 |
+| 0.208         | 6.0   | 5256 | 0.4563          | 0.3930 |
+| 0.1792        | 7.0   | 6132 | 0.4853          | 0.3849 |
+| 0.1564        | 8.0   | 7008 | 0.4942          | 0.3964 |
+| 0.1322        | 9.0   | 7884 | 0.5034          | 0.4216 |
+| 0.1136        | 10.0  | 8760 | 0.5377          | 0.4294 |
 
 
 ### Framework versions