update model card README.md

README.md

@@ -15,11 +15,11 @@ model-index:
     dataset:
       name: xtreme
       type: xtreme
-      args: PAN-X.fr
+      args: PAN-X.de
     metrics:
     - name: F1
       type: f1
-      value: 0.8339781328847772
+      value: 0.863677639046538
 ---
 
 <!-- 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: 0.2841
-- F1: 0.8340
+- Loss: 0.1343
+- F1: 0.8637
 
 ## Model description
 
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 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 |
+| 0.2578        | 1.0   | 525  | 0.1562          | 0.8273 |
+| 0.1297        | 2.0   | 1050 | 0.1330          | 0.8474 |
+| 0.0809        | 3.0   | 1575 | 0.1343          | 0.8637 |
 
 
 ### Framework versions