update model card README.md

README.md

@@ -15,11 +15,11 @@ model-index:
     dataset:
       name: xtreme
       type: xtreme
-      args: PAN-X.it
+      args: PAN-X.en
     metrics:
     - name: F1
       type: f1
-      value: 0.8124233755619126
+      value: 0.6886160714285715
 ---
 
 <!-- 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: 0.2630
-- F1: 0.8124
+- Loss: 0.4043
+- F1: 0.6886
 
 ## Model description
 
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.8193        | 1.0   | 70   | 0.3200          | 0.7356 |
-| 0.2773        | 2.0   | 140  | 0.2841          | 0.7882 |
-| 0.1807        | 3.0   | 210  | 0.2630          | 0.8124 |
+| 1.1347        | 1.0   | 50   | 0.5771          | 0.4880 |
+| 0.5066        | 2.0   | 100  | 0.4209          | 0.6582 |
+| 0.3631        | 3.0   | 150  | 0.4043          | 0.6886 |
 
 
 ### Framework versions