update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8090190139660104
+      value: 0.8393729984830608
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +29,8 @@ 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: 0.3330
-- F1: 0.8090
+- Loss: 0.2691
+- F1: 0.8394
 
 ## Model description
 
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 96   | 0.4111          | 0.7259 |
-| No log        | 2.0   | 192  | 0.3435          | 0.7855 |
-| No log        | 3.0   | 288  | 0.3330          | 0.8090 |
+| No log        | 1.0   | 191  | 0.3150          | 0.7993 |
+| No log        | 2.0   | 382  | 0.2799          | 0.8213 |
+| No log        | 3.0   | 573  | 0.2691          | 0.8394 |
 
 
 ### Framework versions