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: 0.1269
-- F1: 0.9623
+- Loss: 0.1505
+- F1: 0.9536
 
 ## 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     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.283         | 1.0   | 258  | 0.1757          | 0.9445 |
-| 0.1171        | 2.0   | 516  | 0.1306          | 0.9623 |
-| 0.0795        | 3.0   | 774  | 0.1269          | 0.9623 |
+| 0.292         | 1.0   | 258  | 0.1525          | 0.9565 |
+| 0.1231        | 2.0   | 516  | 0.1348          | 0.9619 |
+| 0.0787        | 3.0   | 774  | 0.1408          | 0.9607 |
+| 0.0655        | 4.0   | 1032 | 0.1505          | 0.9536 |
 
 
 ### Framework versions