update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8664576802507837
+      value: 0.8716380725893211
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xlm-roberta-base-finetuned-panx-de
 
-This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
+This model is a fine-tuned version of [MunSu/xlm-roberta-base-finetuned-panx-de](https://huggingface.co/MunSu/xlm-roberta-base-finetuned-panx-de) on the xtreme dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1578
-- F1: 0.8665
+- Loss: 0.1956
+- F1: 0.8716
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2605        | 1.0   | 1573 | 0.1975          | 0.8223 |
-| 0.1409        | 2.0   | 3146 | 0.1561          | 0.8523 |
-| 0.0842        | 3.0   | 4719 | 0.1578          | 0.8665 |
+| 0.1198        | 1.0   | 1573 | 0.1736          | 0.8474 |
+| 0.08          | 2.0   | 3146 | 0.1771          | 0.8656 |
+| 0.0414        | 3.0   | 4719 | 0.1956          | 0.8716 |
 
 
 ### Framework versions