update model card README.md

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.6006
-- Precision: 0.0
-- Recall: 0.0
-- F1: 0.0
-- Accuracy: 0.8892
+- Loss: 0.1278
+- Precision: 0.7571
+- Recall: 0.7843
+- F1: 0.7704
+- Accuracy: 0.9549
 
 ## Model description
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| 0.758         | 1.0   | 121  | 0.6913          | 0.0       | 0.0    | 0.0 | 0.8892   |
-| 0.6556        | 2.0   | 242  | 0.6214          | 0.0       | 0.0    | 0.0 | 0.8892   |
-| 0.6125        | 3.0   | 363  | 0.6006          | 0.0       | 0.0    | 0.0 | 0.8892   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1919        | 1.0   | 121  | 0.1168          | 0.7751    | 0.7265 | 0.7500 | 0.9537   |
+| 0.0949        | 2.0   | 242  | 0.1188          | 0.7863    | 0.7588 | 0.7723 | 0.9568   |
+| 0.0703        | 3.0   | 363  | 0.1278          | 0.7571    | 0.7843 | 0.7704 | 0.9549   |
 
 
 ### Framework versions