update model card README.md

README.md

@@ -15,13 +15,13 @@ model-index:
     dataset:
       name: xtreme
       type: xtreme
-      config: PAN-X.fr
+      config: PAN-X.de
       split: validation
-      args: PAN-X.fr
+      args: PAN-X.de
     metrics:
     - name: F1
       type: f1
-      value: 0.8322418136020152
+      value: 0.8600170502983802
 ---
 
 <!-- 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: 0.2887
-- F1: 0.8322
+- Loss: 0.1391
+- F1: 0.8600
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.6149        | 1.0   | 167  | 0.3389          | 0.7827 |
-| 0.2823        | 2.0   | 334  | 0.3090          | 0.8015 |
-| 0.1893        | 3.0   | 501  | 0.2887          | 0.8322 |
+| 0.2598        | 1.0   | 525  | 0.1697          | 0.8177 |
+| 0.1253        | 2.0   | 1050 | 0.1343          | 0.8509 |
+| 0.0812        | 3.0   | 1575 | 0.1391          | 0.8600 |
 
 
 ### Framework versions