End of training

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8142
-- F1: 0.6357
+- Loss: 0.9118
+- F1: 0.5217
 
 ## Model description
 
@@ -36,24 +36,23 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 128
+- learning_rate: 1.561667708933033e-06
+- train_batch_size: 64
 - eval_batch_size: 128
-- seed: 42
+- seed: 7
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 10
-- num_epochs: 5
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 44   | 0.8284          | 0.5900 |
-| No log        | 2.0   | 88   | 0.7911          | 0.6091 |
-| No log        | 3.0   | 132  | 0.7954          | 0.6231 |
-| No log        | 4.0   | 176  | 0.8142          | 0.6357 |
-| No log        | 5.0   | 220  | 0.8523          | 0.6227 |
+| No log        | 1.0   | 87   | 1.0658          | 0.2015 |
+| No log        | 2.0   | 174  | 1.0056          | 0.3060 |
+| No log        | 3.0   | 261  | 0.9283          | 0.5110 |
+| No log        | 4.0   | 348  | 0.9118          | 0.5217 |
 
 
 ### Framework versions