update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.696578799775659
+      value: 0.6863181312569522
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +29,8 @@ 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 xtreme dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3946
-- F1: 0.6966
+- Loss: 0.3927
+- F1: 0.6863
 
 ## Model description
 
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.0491        | 1.0   | 50   | 0.5496          | 0.5589 |
-| 0.5353        | 2.0   | 100  | 0.4156          | 0.6693 |
-| 0.3715        | 3.0   | 150  | 0.3946          | 0.6966 |
+| 1.1465        | 1.0   | 50   | 0.5838          | 0.4777 |
+| 0.505         | 2.0   | 100  | 0.4627          | 0.6393 |
+| 0.3783        | 3.0   | 150  | 0.3927          | 0.6863 |
 
 
 ### Framework versions