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: 0.1278
-- Precision: 0.7571
-- Recall: 0.7843
-- F1: 0.7704
-- Accuracy: 0.9549
+- Loss: 0.1711
+- Precision: 0.7538
+- Recall: 0.7902
+- F1: 0.7716
+- Accuracy: 0.9536
 
 ## Model description
 
@@ -48,15 +48,17 @@ The following hyperparameters were used during training:
 - seed: 25
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
 | 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   |
+| 0.1914        | 1.0   | 121  | 0.1169          | 0.7655    | 0.7369 | 0.7510 | 0.9536   |
+| 0.0946        | 2.0   | 242  | 0.1192          | 0.7952    | 0.7334 | 0.7631 | 0.9558   |
+| 0.0643        | 3.0   | 363  | 0.1336          | 0.7471    | 0.7932 | 0.7695 | 0.9537   |
+| 0.0428        | 4.0   | 484  | 0.1585          | 0.7312    | 0.7957 | 0.7621 | 0.9517   |
+| 0.0286        | 5.0   | 605  | 0.1711          | 0.7538    | 0.7902 | 0.7716 | 0.9536   |
 
 
 ### Framework versions