update model card README.md

README.md

@@ -16,12 +16,12 @@ model-index:
       name: xtreme
       type: xtreme
       config: PAN-X.en
-      split: train
+      split: validation
       args: PAN-X.en
     metrics:
     - name: F1
       type: f1
-      value: 0.7032474804031354
+      value: 0.6991051454138703
 ---
 
 <!-- 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: 0.3932
-- F1: 0.7032
+- Loss: 0.3926
+- F1: 0.6991
 
 ## Model description
 
@@ -63,14 +63,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.1504        | 1.0   | 50   | 0.5992          | 0.4786 |
-| 0.5147        | 2.0   | 100  | 0.4307          | 0.6468 |
-| 0.3717        | 3.0   | 150  | 0.3932          | 0.7032 |
+| 1.1415        | 1.0   | 50   | 0.5404          | 0.5163 |
+| 0.5045        | 2.0   | 100  | 0.4347          | 0.6498 |
+| 0.371         | 3.0   | 150  | 0.3926          | 0.6991 |
 
 
 ### Framework versions
 
-- Transformers 4.21.2
-- Pytorch 1.12.1+cu113
-- Datasets 2.4.0
-- Tokenizers 0.12.1
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2