update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8660826032540677
+      value: 0.8602239734549979
 ---
 
 <!-- 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 [tkubotake/xlm-roberta-base-finetuned-panx-de](https://huggingface.co/tkubotake/xlm-roberta-base-finetuned-panx-de) on the xtreme dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2316
-- F1: 0.8661
+- Loss: 0.2762
+- F1: 0.8602
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2585        | 1.0   | 70   | 0.2073          | 0.8365 |
-| 0.1302        | 2.0   | 140  | 0.2304          | 0.8459 |
-| 0.0771        | 3.0   | 210  | 0.2316          | 0.8661 |
+| 0.1073        | 1.0   | 70   | 0.2783          | 0.8554 |
+| 0.0728        | 2.0   | 140  | 0.2651          | 0.8605 |
+| 0.0409        | 3.0   | 210  | 0.2762          | 0.8602 |
 
 
 ### Framework versions