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_T2_WS_A100
   results: []
@@ -12,7 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Model3_Marabertv2_T2_WS_A100
 
-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: 0.0795
+- F1: 0.8271
+- Roc Auc: 0.9092
+- Accuracy: 0.7430
 
 ## Model description
 
@@ -39,6 +47,22 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 15
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| No log        | 1.0   | 193  | 0.1589          | 0.5089 | 0.6835  | 0.3687   |
+| No log        | 2.0   | 386  | 0.1122          | 0.6879 | 0.7800  | 0.5680   |
+| 0.1646        | 3.0   | 579  | 0.0932          | 0.7846 | 0.8623  | 0.6816   |
+| 0.1646        | 4.0   | 772  | 0.0793          | 0.8138 | 0.8823  | 0.7318   |
+| 0.1646        | 5.0   | 965  | 0.0916          | 0.7893 | 0.8787  | 0.6965   |
+| 0.0598        | 6.0   | 1158 | 0.0739          | 0.8251 | 0.8935  | 0.7318   |
+| 0.0598        | 7.0   | 1351 | 0.0752          | 0.8257 | 0.9002  | 0.7393   |
+| 0.0266        | 8.0   | 1544 | 0.0800          | 0.8350 | 0.9128  | 0.7467   |
+| 0.0266        | 9.0   | 1737 | 0.0810          | 0.8295 | 0.9123  | 0.7430   |
+| 0.0266        | 10.0  | 1930 | 0.0795          | 0.8271 | 0.9092  | 0.7430   |
+
+
 ### Framework versions
 
 - Transformers 4.31.0