update model card README.md

README.md

@@ -17,8 +17,8 @@ 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: 0.3023
-- F1: 0.7946
+- Loss: 0.5155
+- F1: 0.8005
 
 ## Model description
 
@@ -43,15 +43,22 @@ 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: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.4864        | 1.0   | 438  | 0.3817          | 0.6984 |
-| 0.2419        | 2.0   | 876  | 0.3050          | 0.7654 |
-| 0.1606        | 3.0   | 1314 | 0.3023          | 0.7946 |
+| 0.4866        | 1.0   | 438  | 0.3960          | 0.6932 |
+| 0.2614        | 2.0   | 876  | 0.3196          | 0.7360 |
+| 0.1845        | 3.0   | 1314 | 0.3218          | 0.7698 |
+| 0.1353        | 4.0   | 1752 | 0.3439          | 0.7701 |
+| 0.096         | 5.0   | 2190 | 0.3638          | 0.7885 |
+| 0.0689        | 6.0   | 2628 | 0.3983          | 0.7991 |
+| 0.0474        | 7.0   | 3066 | 0.4359          | 0.7962 |
+| 0.0317        | 8.0   | 3504 | 0.4701          | 0.8032 |
+| 0.0219        | 9.0   | 3942 | 0.5055          | 0.8032 |
+| 0.0153        | 10.0  | 4380 | 0.5155          | 0.8005 |
 
 
 ### Framework versions