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: 0.5054
-- Accuracy: 0.8618
 ## Model description
@@ -36,7 +36,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 2e-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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.55  | 100  | 0.4919          | 0.8230   |
-| No log        | 1.1   | 200  | 0.4253          | 0.8509   |
-| No log        | 1.65  | 300  | 0.4203          | 0.8556   |
-| No log        | 2.2   | 400  | 0.4475          | 0.8711   |
-| 0.411         | 2.75  | 500  | 0.4450          | 0.8649   |
-| 0.411         | 3.3   | 600  | 0.4582          | 0.8665   |
-| 0.411         | 3.85  | 700  | 0.4824          | 0.8649   |
-| 0.411         | 4.4   | 800  | 0.4810          | 0.8696   |
-| 0.411         | 4.95  | 900  | 0.5054          | 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: 0.7800
+- Accuracy: 0.8665
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 5e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
 | 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   |
 ### Framework versions