Model save

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1197
+- Loss: 0.4506
 - Accuracy: 0.0
 
 ## Model description
@@ -36,7 +36,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 9e-05
 - train_batch_size: 6
 - eval_batch_size: 6
 - seed: 2023
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2579        | 0.26  | 100  | 0.2431          | 0.0      |
-| 0.1909        | 0.53  | 200  | 0.1467          | 0.0      |
-| 0.1556        | 0.79  | 300  | 0.1197          | 0.0      |
+| 0.7099        | 0.26  | 100  | 0.6931          | 1.0      |
+| 0.6983        | 0.53  | 200  | 0.6912          | 0.0      |
+| 0.4911        | 0.79  | 300  | 0.4506          | 0.0      |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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