update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.865864729913754
+      value: 0.8611443210930829
 ---
 
 <!-- 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: 0.1368
-- F1: 0.8659
+- Loss: 0.1405
+- F1: 0.8611
 
 ## Model description
 
@@ -50,8 +50,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 24
-- eval_batch_size: 24
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2789        | 1.0   | 525  | 0.1486          | 0.8253 |
-| 0.1263        | 2.0   | 1050 | 0.1373          | 0.8562 |
-| 0.0809        | 3.0   | 1575 | 0.1368          | 0.8659 |
+| 0.2542        | 1.0   | 787  | 0.1788          | 0.8083 |
+| 0.1307        | 2.0   | 1574 | 0.1371          | 0.8488 |
+| 0.0784        | 3.0   | 2361 | 0.1405          | 0.8611 |
 
 
 ### Framework versions