update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.1576613565445886
+      value: 0.6245400735882258
 ---
 
 <!-- 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 [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1643
-- F1: 0.1577
+- Loss: 0.6706
+- F1: 0.6245
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 6    | 1.4422          | 0.0167 |
-| No log        | 2.0   | 12   | 1.2709          | 0.0805 |
-| No log        | 3.0   | 18   | 1.1643          | 0.1577 |
+| No log        | 1.0   | 11   | 1.1624          | 0.1327 |
+| No log        | 2.0   | 22   | 0.7871          | 0.4940 |
+| No log        | 3.0   | 33   | 0.6706          | 0.6245 |
 
 
 ### Framework versions