update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.7515151515151515
+      value: 0.7679222357229647
 ---
 
 <!-- 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: 0.2942
-- F1: 0.7515
+- Loss: 0.3344
+- F1: 0.7679
 
 ## Model description
 
@@ -57,15 +57,17 @@ 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: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.4793        | 1.0   | 876  | 0.3484          | 0.7484 |
-| 0.2595        | 2.0   | 1752 | 0.2977          | 0.7722 |
-| 0.1923        | 3.0   | 2628 | 0.2942          | 0.7515 |
+| 0.4868        | 1.0   | 876  | 0.3412          | 0.7589 |
+| 0.2705        | 2.0   | 1752 | 0.3255          | 0.7692 |
+| 0.2199        | 3.0   | 2628 | 0.3220          | 0.7560 |
+| 0.181         | 4.0   | 3504 | 0.3122          | 0.7815 |
+| 0.1409        | 5.0   | 4380 | 0.3344          | 0.7679 |
 
 
 ### Framework versions