End of training

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: skt/kobert-base-v1
+base_model: kykim/bert-kor-base
 tags:
 - generated_from_trainer
 metrics:
@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # test_model
 
-This model is a fine-tuned version of [skt/kobert-base-v1](https://huggingface.co/skt/kobert-base-v1) on an unknown dataset.
+This model is a fine-tuned version of [kykim/bert-kor-base](https://huggingface.co/kykim/bert-kor-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6653
-- Accuracy: 0.8540
+- Loss: 0.9401
+- Accuracy: 0.8618
 
 ## Model description
 
@@ -36,7 +36,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 6e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -48,15 +48,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4811        | 0.55  | 100  | 0.5747          | 0.7966   |
-| 0.4915        | 1.1   | 200  | 0.4516          | 0.8447   |
-| 0.3378        | 1.65  | 300  | 0.4716          | 0.8494   |
-| 0.2774        | 2.2   | 400  | 0.4769          | 0.8618   |
-| 0.2241        | 2.75  | 500  | 0.4862          | 0.8478   |
-| 0.1732        | 3.3   | 600  | 0.5678          | 0.8525   |
-| 0.1498        | 3.85  | 700  | 0.5853          | 0.8587   |
-| 0.0989        | 4.4   | 800  | 0.6208          | 0.8556   |
-| 0.0779        | 4.95  | 900  | 0.6653          | 0.8540   |
+| 0.6312        | 0.55  | 100  | 0.5099          | 0.8183   |
+| 0.4666        | 1.1   | 200  | 0.4792          | 0.8432   |
+| 0.3128        | 1.65  | 300  | 0.4635          | 0.8602   |
+| 0.2626        | 2.2   | 400  | 0.5552          | 0.8618   |
+| 0.1915        | 2.75  | 500  | 0.5080          | 0.8649   |
+| 0.1523        | 3.3   | 600  | 0.5711          | 0.8696   |
+| 0.1112        | 3.85  | 700  | 0.7358          | 0.8540   |
+| 0.0906        | 4.4   | 800  | 0.8513          | 0.8571   |
+| 0.0769        | 4.95  | 900  | 0.9401          | 0.8618   |
 
 
 ### Framework versions