dd3434
/

test_model

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 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: 0.9401
-- Accuracy: 0.8618
 ## Model description
@@ -36,7 +36,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6312        | 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

 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: 1.0590
+- Accuracy: 0.8587
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 8e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6008        | 0.55  | 100  | 0.4586          | 0.8525   |
+| 0.4733        | 1.1   | 200  | 0.4955          | 0.8463   |
+| 0.3034        | 1.65  | 300  | 0.4289          | 0.8602   |
+| 0.2576        | 2.2   | 400  | 0.6020          | 0.8401   |
+| 0.2013        | 2.75  | 500  | 0.5233          | 0.8509   |
+| 0.1409        | 3.3   | 600  | 0.6732          | 0.8665   |
+| 0.1544        | 3.85  | 700  | 0.6559          | 0.8711   |
+| 0.0918        | 4.4   | 800  | 0.9371          | 0.8556   |
+| 0.0851        | 4.95  | 900  | 1.0590          | 0.8587   |
 ### Framework versions