update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.7001703577512777
+      value: 0.7391681109185442
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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: 0.3812
-- F1: 0.7002
+- Loss: 0.5454
+- F1: 0.7392
 
 ## Model description
 
@@ -58,15 +58,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.9675        | 1.0   | 64   | 0.4574          | 0.5938 |
-| 0.4302        | 2.0   | 128  | 0.4075          | 0.6627 |
-| 0.309         | 3.0   | 192  | 0.3812          | 0.7002 |
+| 0.9671        | 1.0   | 64   | 0.4469          | 0.5852 |
+| 0.4238        | 2.0   | 128  | 0.3829          | 0.6812 |
+| 0.2991        | 3.0   | 192  | 0.4379          | 0.6792 |
+| 0.228         | 4.0   | 256  | 0.4082          | 0.7109 |
+| 0.1664        | 5.0   | 320  | 0.4420          | 0.7190 |
+| 0.1202        | 6.0   | 384  | 0.4736          | 0.7228 |
+| 0.0918        | 7.0   | 448  | 0.5068          | 0.7334 |
+| 0.0681        | 8.0   | 512  | 0.5204          | 0.7316 |
+| 0.0495        | 9.0   | 576  | 0.5273          | 0.7389 |
+| 0.0383        | 10.0  | 640  | 0.5454          | 0.7392 |
 
 
 ### Framework versions