update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8165820642978002
+      value: 0.8361792054099746
 ---
 
 <!-- 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 [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: 0.4852
-- F1: 0.8166
+- Loss: 0.4618
+- F1: 0.8362
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 125  | 0.3854          | 0.7861 |
-| No log        | 2.0   | 250  | 0.4206          | 0.8090 |
-| No log        | 3.0   | 375  | 0.4852          | 0.8166 |
+| No log        | 1.0   | 250  | 0.3550          | 0.8293 |
+| No log        | 2.0   | 500  | 0.4160          | 0.8351 |
+| No log        | 3.0   | 750  | 0.4618          | 0.8362 |
 
 
 ### Framework versions