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: 0.0095
+- Loss: 0.3032
 
 ## Model description
 
@@ -45,19 +45,19 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 5.0372        | 1.0   | 1    | 0.0020          |
-| 3.1148        | 2.0   | 2    | 0.0082          |
-| 3.1643        | 3.0   | 3    | 0.0995          |
-| 1.6019        | 4.0   | 4    | 1.3148          |
-| 0.8248        | 5.0   | 5    | 1.0497          |
-| 1.8428        | 6.0   | 6    | 3.7091          |
-| 1.0127        | 7.0   | 7    | 0.0025          |
-| 1.2433        | 8.0   | 8    | nan             |
+| 5.4901        | 1.0   | 1    | 0.7457          |
+| 1.7667        | 2.0   | 2    | 0.6596          |
+| 1.5764        | 3.0   | 3    | 1.2484          |
+| 0.9003        | 4.0   | 4    | 0.5758          |
+| 1.32          | 5.0   | 5    | 0.0032          |
+| 0.5771        | 6.0   | 6    | 0.2338          |
+| 2.0704        | 7.0   | 7    | 0.0155          |
+| 1.0185        | 8.0   | 8    | 0.0773          |
 
 
 ### Framework versions
 
 - Transformers 4.29.2
-- Pytorch 2.0.0+cu118
+- Pytorch 2.0.1+cu118
 - Datasets 2.12.0
 - Tokenizers 0.13.3