update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8094843309567236
+      value: 0.8339781328847772
 ---
 
 <!-- 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: 0.3389
-- F1: 0.8095
+- Loss: 0.2841
+- F1: 0.8340
 
 ## Model description
 
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.8007        | 1.0   | 84   | 0.4269          | 0.7114 |
-| 0.3343        | 2.0   | 168  | 0.3518          | 0.7839 |
-| 0.2191        | 3.0   | 252  | 0.3389          | 0.8095 |
+| 0.6153        | 1.0   | 167  | 0.3430          | 0.7800 |
+| 0.2786        | 2.0   | 334  | 0.2956          | 0.8030 |
+| 0.1851        | 3.0   | 501  | 0.2841          | 0.8340 |
 
 
 ### Framework versions