End of training

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: kykim/bert-kor-base
+base_model: skt/kobert-base-v1
 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 [kykim/bert-kor-base](https://huggingface.co/kykim/bert-kor-base) on an unknown dataset.
+This model is a fine-tuned version of [skt/kobert-base-v1](https://huggingface.co/skt/kobert-base-v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7800
-- Accuracy: 0.8665
+- Loss: 0.6653
+- Accuracy: 0.8540
 
 ## Model description
 
@@ -48,15 +48,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.597         | 0.55  | 100  | 0.4657          | 0.8276   |
-| 0.4636        | 1.1   | 200  | 0.4371          | 0.8571   |
-| 0.3049        | 1.65  | 300  | 0.4441          | 0.8540   |
-| 0.2556        | 2.2   | 400  | 0.5310          | 0.8602   |
-| 0.1887        | 2.75  | 500  | 0.4646          | 0.8649   |
-| 0.1487        | 3.3   | 600  | 0.6220          | 0.8665   |
-| 0.1283        | 3.85  | 700  | 0.5950          | 0.8618   |
-| 0.0823        | 4.4   | 800  | 0.7134          | 0.8696   |
-| 0.0582        | 4.95  | 900  | 0.7800          | 0.8665   |
+| 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   |
 
 
 ### Framework versions