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.it
-      split: validation
       args: PAN-X.it
     metrics:
     - name: F1
       type: f1
-      value: 0.8281505728314238
+      value: 0.8285132382892056
 ---
 
 <!-- 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: 0.2615
-- F1: 0.8282
+- Loss: 0.2519
+- F1: 0.8285
 
 ## Model description
 
@@ -64,14 +61,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.7222        | 1.0   | 70   | 0.3235          | 0.7281 |
-| 0.2811        | 2.0   | 140  | 0.2589          | 0.7974 |
-| 0.1773        | 3.0   | 210  | 0.2615          | 0.8282 |
+| 0.8143        | 1.0   | 70   | 0.3454          | 0.7123 |
+| 0.2867        | 2.0   | 140  | 0.2742          | 0.7932 |
+| 0.1909        | 3.0   | 210  | 0.2519          | 0.8285 |
 
 
 ### 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