update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.5819511130510694
+      value: 0.8216676120249574
 ---
 
 <!-- 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: 0.5443
-- F1: 0.5820
+- Loss: 0.3089
+- F1: 0.8217
 
 ## Model description
 
@@ -52,23 +52,18 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 2
-- eval_batch_size: 2
+- train_batch_size: 1
+- eval_batch_size: 1
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 6
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|
-| 0.8436        | 1.0   | 6290  | 0.7162          | 0.2327 |
-| 0.6128        | 2.0   | 12580 | 0.5592          | 0.3831 |
-| 0.4693        | 3.0   | 18870 | 0.4790          | 0.4671 |
-| 0.3648        | 4.0   | 25160 | 0.4746          | 0.5296 |
-| 0.2762        | 5.0   | 31450 | 0.5420          | 0.5552 |
-| 0.2046        | 6.0   | 37740 | 0.5443          | 0.5820 |
+| 0.4624        | 1.0   | 12580 | 0.3089          | 0.8217 |
 
 
 ### Framework versions