update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.7323434991974318
+      value: 0.7307457833773623
 ---
 
 <!-- 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: 0.5037
-- F1: 0.7323
+- Loss: 0.6529
+- F1: 0.7307
 
 ## 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     |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.6034        | 1.0   | 1313 | 0.5277          | 0.7116 |
-| 0.4167        | 2.0   | 2626 | 0.5244          | 0.7350 |
-| 0.3507        | 3.0   | 3939 | 0.5037          | 0.7323 |
+| Training Loss | Epoch | Step  | Validation Loss | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.6089        | 1.0   | 1313  | 0.5453          | 0.7112 |
+| 0.428         | 2.0   | 2626  | 0.5643          | 0.7302 |
+| 0.3799        | 3.0   | 3939  | 0.5381          | 0.7198 |
+| 0.3463        | 4.0   | 5252  | 0.5810          | 0.7329 |
+| 0.3223        | 5.0   | 6565  | 0.5339          | 0.7361 |
+| 0.3045        | 6.0   | 7878  | 0.6207          | 0.7268 |
+| 0.2898        | 7.0   | 9191  | 0.6517          | 0.7259 |
+| 0.277         | 8.0   | 10504 | 0.6529          | 0.7307 |
 
 
 ### Framework versions