update model card README.md

README.md

@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6277
+- Loss: 1.3297
 
 ## Model description
 
@@ -38,20 +38,28 @@ 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: 3.0
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.0188        | 1.0   | 16   | 1.9737          |
-| 1.9037        | 2.0   | 32   | 1.8202          |
-| 1.7981        | 3.0   | 48   | 1.5981          |
+| 2.4206        | 1.0   | 32   | 1.6348          |
+| 1.6784        | 2.0   | 64   | 1.5117          |
+| 1.5398        | 3.0   | 96   | 1.4957          |
+| 1.4563        | 4.0   | 128  | 1.4255          |
+| 1.4111        | 5.0   | 160  | 1.4090          |
+| 1.3917        | 6.0   | 192  | 1.3566          |
+| 1.3816        | 7.0   | 224  | 1.3316          |
+| 1.3514        | 8.0   | 256  | 1.3519          |
+| 1.3412        | 9.0   | 288  | 1.2739          |
+| 1.3334        | 10.0  | 320  | 1.3000          |
 
 
 ### Framework versions
 
-- Transformers 4.21.3
+- Transformers 4.22.1
 - Pytorch 1.12.1+cu113
+- Datasets 2.4.0
 - Tokenizers 0.12.1