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: 0.0015
+- Loss: 1.2454
 
 ## Model description
 
@@ -45,19 +45,19 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 4.9799        | 1.0   | 1    | 1.6292          |
-| 2.7899        | 2.0   | 2    | 0.0009          |
-| 2.2618        | 3.0   | 3    | 0.2248          |
-| 1.1093        | 4.0   | 4    | 0.0143          |
-| 2.0135        | 5.0   | 5    | nan             |
-| 1.7633        | 6.0   | 6    | 0.0014          |
-| 0.7008        | 7.0   | 7    | 0.0001          |
-| 1.0903        | 8.0   | 8    | 2.7530          |
+| 4.7756        | 1.0   | 1    | 1.7241          |
+| 2.6375        | 2.0   | 2    | 1.6227          |
+| 1.8126        | 3.0   | 3    | 2.6535          |
+| 1.968         | 4.0   | 4    | 0.0169          |
+| 1.0511        | 5.0   | 5    | 0.3926          |
+| 0.7374        | 6.0   | 6    | 0.0937          |
+| 1.369         | 7.0   | 7    | 3.2869          |
+| 1.2284        | 8.0   | 8    | 1.9680          |
 
 
 ### Framework versions
 
-- Transformers 4.29.1
+- Transformers 4.29.2
 - Pytorch 2.0.0+cu118
 - Datasets 2.12.0
 - Tokenizers 0.13.3