update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.0
+      value: 0.8597727272727272
 ---
 
 <!-- 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: nan
-- F1: 0.0
+- Loss: 0.1363
+- F1: 0.8598
 
 ## Model description
 
@@ -50,8 +50,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- train_batch_size: 24
+- eval_batch_size: 24
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -59,11 +59,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1  |
-|:-------------:|:-----:|:----:|:---------------:|:---:|
-| 0.0           | 1.0   | 197  | nan             | 0.0 |
-| 0.0           | 2.0   | 394  | nan             | 0.0 |
-| 0.0           | 3.0   | 591  | nan             | 0.0 |
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2552        | 1.0   | 525  | 0.1783          | 0.8162 |
+| 0.1286        | 2.0   | 1050 | 0.1390          | 0.8473 |
+| 0.0821        | 3.0   | 1575 | 0.1363          | 0.8598 |
 
 
 ### Framework versions