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 [monologg/kobigbird-bert-base](https://huggingface.co/monologg/kobigbird-bert-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6572
+- Loss: 3.5589
 
 ## Model description
 
@@ -44,25 +44,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 4.9244        | 1.38  | 500  | 3.5747          |
-| 3.517         | 2.75  | 1000 | 3.2696          |
-| 3.15          | 4.13  | 1500 | 2.4914          |
-| 2.4982        | 5.51  | 2000 | 2.0716          |
-| 2.1877        | 6.89  | 2500 | 1.9057          |
-| 2.0253        | 8.26  | 3000 | 1.8124          |
-| 1.9019        | 9.64  | 3500 | 1.7488          |
-| 1.8217        | 11.02 | 4000 | 1.7283          |
-| 1.7357        | 12.4  | 4500 | 1.7530          |
-| 1.6723        | 13.77 | 5000 | 1.6755          |
-| 1.5906        | 15.15 | 5500 | 1.6231          |
-| 1.5584        | 16.53 | 6000 | 1.6184          |
-| 1.4958        | 17.91 | 6500 | 1.6221          |
-| 1.4371        | 19.28 | 7000 | 1.6572          |
+| 4.888         | 13.89 | 500  | 3.5589          |
 
 
 ### Framework versions
 
-- Transformers 4.23.1
-- Pytorch 1.12.1+cu113
-- Datasets 2.6.1
-- Tokenizers 0.13.1
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu116
+- Datasets 2.8.0
+- Tokenizers 0.13.2