update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.2190556021234982
+      value: 0.582274558413387
 ---
 
 <!-- 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: 0.9801
-- F1: 0.2191
+- Loss: 0.6245
+- F1: 0.5823
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.7996        | 1.0   | 11   | 1.2924          | 0.0883 |
-| 1.2541        | 2.0   | 22   | 1.0982          | 0.2162 |
-| 1.0594        | 3.0   | 33   | 0.9801          | 0.2191 |
+| 1.5058        | 1.0   | 21   | 1.1466          | 0.1890 |
+| 0.9665        | 2.0   | 42   | 0.7547          | 0.5142 |
+| 0.6458        | 3.0   | 63   | 0.6245          | 0.5823 |
 
 
 ### Framework versions