update model card README.md

README.md

@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [jojoUla/bert-large-cased-sigir-support-refute-no-label-40](https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7275
+- Loss: 3.6617
 
 ## Model description
 
@@ -45,19 +45,19 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 6.4177        | 1.0   | 1    | 3.1077          |
-| 3.4391        | 2.0   | 2    | 0.0751          |
-| 2.6175        | 3.0   | 3    | 1.8686          |
-| 2.2705        | 4.0   | 4    | 2.1441          |
-| 3.0889        | 5.0   | 5    | 0.0015          |
-| 2.4845        | 6.0   | 6    | 0.0053          |
-| 1.8426        | 7.0   | 7    | 3.6611          |
-| 3.1042        | 8.0   | 8    | 0.0442          |
+| 4.8219        | 1.0   | 1    | 0.0871          |
+| 3.5734        | 2.0   | 2    | 0.0168          |
+| 3.2278        | 3.0   | 3    | 3.1798          |
+| 1.1492        | 4.0   | 4    | 0.4016          |
+| 0.7247        | 5.0   | 5    | 1.3638          |
+| 1.484         | 6.0   | 6    | 0.0656          |
+| 1.412         | 7.0   | 7    | 1.2833          |
+| 0.7053        | 8.0   | 8    | 2.5228          |
 
 
 ### Framework versions
 
-- Transformers 4.28.1
-- Pytorch 2.0.0+cu117
-- Datasets 2.11.0
+- Transformers 4.29.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.12.0
 - Tokenizers 0.13.3