update model card README.md

README.md

@@ -2,6 +2,9 @@
 base_model: UBC-NLP/MARBERTv2
 tags:
 - generated_from_trainer
+metrics:
+- f1
+- accuracy
 model-index:
 - name: Model3_Marabertv2_T1_WOS
   results: []
@@ -12,7 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Model3_Marabertv2_T1_WOS
 
-This model is a fine-tuned version of [UBC-NLP/MARBERTv2](https://huggingface.co/UBC-NLP/MARBERTv2) on an unknown dataset.
+This model is a fine-tuned version of [UBC-NLP/MARBERTv2](https://huggingface.co/UBC-NLP/MARBERTv2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2308
+- F1: 0.8430
+- F1 Macro: 0.7804
+- Roc Auc: 0.9048
+- Accuracy: 0.8142
 
 ## Model description
 
@@ -39,6 +48,17 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 15
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | F1 Macro | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:-------:|:--------:|
+| 0.2194        | 1.0   | 507  | 0.1556          | 0.8330 | 0.7507   | 0.8909  | 0.7947   |
+| 0.1166        | 2.0   | 1014 | 0.1850          | 0.8269 | 0.7439   | 0.8920  | 0.8010   |
+| 0.0747        | 3.0   | 1521 | 0.1915          | 0.8368 | 0.7724   | 0.8992  | 0.8115   |
+| 0.0445        | 4.0   | 2028 | 0.2034          | 0.8398 | 0.7695   | 0.9014  | 0.8149   |
+| 0.0301        | 5.0   | 2535 | 0.2308          | 0.8430 | 0.7804   | 0.9048  | 0.8142   |
+
+
 ### Framework versions
 
 - Transformers 4.31.0