update model card README.md

README.md

@@ -14,8 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6304
-- Rmse: 0.6825
+- Loss: 0.6091
+- Rmse: 0.6632
 
 ## Model description
 
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rmse   |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.8437        | 2.0   | 500  | 0.6304          | 0.6825 |
-| 0.4754        | 4.0   | 1000 | 0.6513          | 0.6398 |
-| 0.1944        | 6.0   | 1500 | 0.9487          | 0.6847 |
-| 0.0817        | 8.0   | 2000 | 1.2716          | 0.6788 |
-| 0.0393        | 10.0  | 2500 | 1.3849          | 0.6647 |
+| 0.7648        | 2.0   | 500  | 0.6091          | 0.6632 |
+| 0.4033        | 4.0   | 1000 | 0.7708          | 0.6632 |
+| 0.1444        | 6.0   | 1500 | 1.0443          | 0.6563 |
+| 0.0625        | 8.0   | 2000 | 1.3089          | 0.6628 |
+| 0.0324        | 10.0  | 2500 | 1.3869          | 0.6673 |
 
 
 ### Framework versions
 
-- Transformers 4.28.1
+- Transformers 4.29.0
 - Pytorch 2.0.0+cu118
 - Datasets 2.12.0
 - Tokenizers 0.13.3