update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.7508346444606471
+      value: 0.7404764644953389
 ---
 
 <!-- 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: 0.2576
-- F1: 0.7508
+- Loss: 0.3849
+- F1: 0.7405
 
 ## 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     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2639        | 1.0   | 1313 | 0.2454          | 0.7213 |
-| 0.1623        | 2.0   | 2626 | 0.2428          | 0.7449 |
-| 0.1047        | 3.0   | 3939 | 0.2576          | 0.7508 |
+| 0.2667        | 1.0   | 1313 | 0.2522          | 0.7073 |
+| 0.173         | 2.0   | 2626 | 0.2498          | 0.7313 |
+| 0.1237        | 3.0   | 3939 | 0.2660          | 0.7330 |
+| 0.0861        | 4.0   | 5252 | 0.3104          | 0.7423 |
+| 0.0592        | 5.0   | 6565 | 0.3849          | 0.7405 |
 
 
 ### Framework versions