update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8632080826427516
+      value: 0.8610763454317897
 ---
 
 <!-- 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: 0.1440
-- F1: 0.8632
+- Loss: 0.1350
+- F1: 0.8611
 
 ## Model description
 
@@ -52,8 +52,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2518        | 1.0   | 787  | 0.1664          | 0.8301 |
-| 0.1272        | 2.0   | 1574 | 0.1385          | 0.8489 |
-| 0.0773        | 3.0   | 2361 | 0.1440          | 0.8632 |
+| 0.2692        | 1.0   | 394  | 0.1670          | 0.8066 |
+| 0.1315        | 2.0   | 788  | 0.1345          | 0.8439 |
+| 0.0852        | 3.0   | 1182 | 0.1350          | 0.8611 |
 
 
 ### Framework versions