update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.4168211999760723
+      value: 0.41368436709802175
 ---
 
 <!-- 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: 0.2087
-- F1: 0.4168
+- Loss: 0.1969
+- F1: 0.4137
 
 ## Model description
 
@@ -51,9 +51,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 24
-- eval_batch_size: 24
+- learning_rate: 2e-05
+- train_batch_size: 30
+- eval_batch_size: 30
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.255         | 1.0   | 876  | 0.2267          | 0.3606 |
-| 0.1677        | 2.0   | 1752 | 0.2111          | 0.4045 |
-| 0.1234        | 3.0   | 2628 | 0.2087          | 0.4168 |
+| No log        | 1.0   | 701  | 0.2158          | 0.3687 |
+| 0.2387        | 2.0   | 1402 | 0.2007          | 0.4061 |
+| 0.1552        | 3.0   | 2103 | 0.1969          | 0.4137 |
 
 
 ### Framework versions