End of training

README.md

@@ -15,7 +15,7 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6859
+- Loss: 0.1630
 
 ## Model description
 
@@ -34,7 +34,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0005
+- learning_rate: 0.0001
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -47,11 +47,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.8503        | 1.0   | 225  | 0.7818          |
-| 0.7062        | 2.0   | 450  | 0.7010          |
-| 0.6877        | 3.0   | 675  | 0.7087          |
-| 0.6996        | 4.0   | 900  | 0.6859          |
-| 0.6939        | 5.0   | 1125 | 0.6870          |
+| 0.0828        | 1.0   | 225  | 0.1630          |
+| 1.0102        | 2.0   | 450  | 0.6861          |
+| 0.7127        | 3.0   | 675  | 0.6880          |
+| 0.7073        | 4.0   | 900  | 0.6861          |
+| 0.7145        | 5.0   | 1125 | 0.6864          |
 
 
 ### Framework versions

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