update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8674876567731684
+      value: 0.8654677896653767
 ---
 
 <!-- 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: 0.1571
-- F1: 0.8675
+- Loss: 0.1405
+- F1: 0.8655
 
 ## Model description
 
@@ -52,21 +52,20 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 12
-- eval_batch_size: 12
+- 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
-- num_epochs: 4
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2502        | 1.0   | 1049 | 0.1760          | 0.8255 |
-| 0.1379        | 2.0   | 2098 | 0.1540          | 0.8413 |
-| 0.0897        | 3.0   | 3147 | 0.1487          | 0.8602 |
-| 0.0549        | 4.0   | 4196 | 0.1571          | 0.8675 |
+| 0.2495        | 1.0   | 787  | 0.1764          | 0.8184 |
+| 0.1299        | 2.0   | 1574 | 0.1427          | 0.8562 |
+| 0.0771        | 3.0   | 2361 | 0.1405          | 0.8655 |
 
 
 ### Framework versions