update model card README.md

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0588
-- F1: 0.9804
+- Loss: 0.0529
+- F1: 0.9856
 
 ## Model description
 
@@ -42,15 +42,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.4564        | 1.0   | 74   | 0.1082          | 0.9641 |
-| 0.1143        | 2.0   | 148  | 0.0735          | 0.9767 |
-| 0.0662        | 3.0   | 222  | 0.0588          | 0.9804 |
+| 0.4605        | 1.0   | 74   | 0.1084          | 0.9609 |
+| 0.1105        | 2.0   | 148  | 0.0563          | 0.9809 |
+| 0.0696        | 3.0   | 222  | 0.0500          | 0.9851 |
+| 0.0512        | 4.0   | 296  | 0.0529          | 0.9856 |
 
 
 ### Framework versions