update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8460264900662252
+      value: 0.8610763454317898
 ---
 
 <!-- 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-it
 
-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: 0.2824
-- F1: 0.8460
+- Loss: 0.2900
+- F1: 0.8611
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 210  | 0.2969          | 0.7771 |
-| No log        | 2.0   | 420  | 0.2909          | 0.8187 |
-| No log        | 3.0   | 630  | 0.2824          | 0.8460 |
+| No log        | 1.0   | 210  | 0.2713          | 0.8249 |
+| No log        | 2.0   | 420  | 0.2468          | 0.8539 |
+| No log        | 3.0   | 630  | 0.2900          | 0.8611 |
 
 
 ### Framework versions