update model card README.md

README.md

@@ -15,13 +15,13 @@ model-index:
     dataset:
       name: xtreme
       type: xtreme
-      config: PAN-X.de
+      config: PAN-X.fr
       split: validation
-      args: PAN-X.de
+      args: PAN-X.fr
     metrics:
     - name: F1
       type: f1
-      value: 0.8630323679727427
+      value: 0.5082323703013358
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ 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: 0.1507
-- F1: 0.8630
+- Loss: 0.7483
+- F1: 0.5082
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2625        | 1.0   | 1258 | 0.1919          | 0.8116 |
-| 0.143         | 2.0   | 2516 | 0.1519          | 0.8364 |
-| 0.0843        | 3.0   | 3774 | 0.1507          | 0.8630 |
+| 1.587         | 1.0   | 25   | 1.2051          | 0.1452 |
+| 1.0078        | 2.0   | 50   | 0.8403          | 0.3977 |
+| 0.7091        | 3.0   | 75   | 0.7483          | 0.5082 |
 
 
 ### Framework versions