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: 0.0052
+- Loss: 0.7836
 
 ## Model description
 
@@ -45,19 +45,19 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 5.6115        | 1.0   | 1    | 0.1530          |
-| 2.1055        | 2.0   | 2    | 5.8102          |
-| 3.1186        | 3.0   | 3    | 3.4733          |
-| 1.3463        | 4.0   | 4    | 0.0192          |
-| 0.8078        | 5.0   | 5    | 4.4699          |
-| 1.9961        | 6.0   | 6    | 0.3608          |
-| 1.5945        | 7.0   | 7    | 0.1473          |
-| 1.0366        | 8.0   | 8    | 4.2217          |
+| 5.0201        | 1.0   | 1    | 1.7655          |
+| 3.8755        | 2.0   | 2    | 1.2128          |
+| 2.497         | 3.0   | 3    | 4.3689          |
+| 1.8736        | 4.0   | 4    | 0.2019          |
+| 1.052         | 5.0   | 5    | 1.5817          |
+| 1.0984        | 6.0   | 6    | 1.3034          |
+| 1.0711        | 7.0   | 7    | 0.0750          |
+| 0.8476        | 8.0   | 8    | 0.2833          |
 
 
 ### Framework versions
 
 - Transformers 4.29.2
-- Pytorch 2.0.0+cu118
+- Pytorch 2.0.1+cu118
 - Datasets 2.12.0
 - Tokenizers 0.13.3