End of training

README.md

@@ -17,9 +17,9 @@ 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: 0.7240
-- Accuracy: 0.7471
-- F1: 0.7431
+- Loss: 0.9351
+- Accuracy: 0.7338
+- F1: 0.7309
 
 ## Model description
 
@@ -44,15 +44,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.7302        | 1.0   | 2554 | 0.7201          | 0.7316   | 0.7228 |
-| 0.5954        | 2.0   | 5108 | 0.6838          | 0.7487   | 0.7418 |
-| 0.4596        | 3.0   | 7662 | 0.7240          | 0.7471   | 0.7431 |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 0.739         | 1.0   | 2554  | 0.7268          | 0.7310   | 0.7196 |
+| 0.6171        | 2.0   | 5108  | 0.6995          | 0.7425   | 0.7354 |
+| 0.493         | 3.0   | 7662  | 0.7367          | 0.7409   | 0.7371 |
+| 0.362         | 4.0   | 10216 | 0.8168          | 0.7418   | 0.7365 |
+| 0.2622        | 5.0   | 12770 | 0.9351          | 0.7338   | 0.7309 |
 
 
 ### Framework versions