update model card README.md

README.md

@@ -1,6 +1,5 @@
 ---
 license: mit
-base_model: xlm-roberta-base
 tags:
 - generated_from_trainer
 datasets:
@@ -16,13 +15,11 @@ model-index:
     dataset:
       name: xtreme
       type: xtreme
-      config: PAN-X.en
-      split: validation
       args: PAN-X.en
     metrics:
     - name: F1
       type: f1
-      value: 0.694242593627725
+      value: 0.6837702175125487
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +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: 0.3881
-- F1: 0.6942
+- Loss: 0.3924
+- F1: 0.6838
 
 ## Model description
 
@@ -64,14 +61,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.0499        | 1.0   | 50   | 0.5015          | 0.5663 |
-| 0.4886        | 2.0   | 100  | 0.4056          | 0.6782 |
-| 0.3965        | 3.0   | 150  | 0.3881          | 0.6942 |
+| 1.1108        | 1.0   | 50   | 0.5679          | 0.4997 |
+| 0.5068        | 2.0   | 100  | 0.4606          | 0.6264 |
+| 0.3711        | 3.0   | 150  | 0.3924          | 0.6838 |
 
 
 ### Framework versions
 
-- Transformers 4.41.2
-- Pytorch 2.3.1+cu121
+- Transformers 4.16.2
+- Pytorch 2.4.0+cu124
 - Datasets 1.16.1
 - Tokenizers 0.19.1