update model card README.md

README.md

@@ -15,13 +15,11 @@ model-index:
     dataset:
       name: xtreme
       type: xtreme
-      config: PAN-X.fr
-      split: train
       args: PAN-X.fr
     metrics:
     - name: F1
       type: f1
-      value: 0.8418912048805287
+      value: 0.8346456692913387
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +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: 0.2724
-- F1: 0.8419
+- Loss: 0.2763
+- F1: 0.8346
 
 ## Model description
 
@@ -63,14 +61,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.5471        | 1.0   | 191  | 0.3180          | 0.7741 |
-| 0.2629        | 2.0   | 382  | 0.2876          | 0.8262 |
-| 0.1804        | 3.0   | 573  | 0.2724          | 0.8419 |
+| 0.5779        | 1.0   | 191  | 0.3701          | 0.7701 |
+| 0.2735        | 2.0   | 382  | 0.2908          | 0.8254 |
+| 0.1769        | 3.0   | 573  | 0.2763          | 0.8346 |
 
 
 ### Framework versions
 
-- Transformers 4.24.0
+- Transformers 4.11.3
 - Pytorch 1.12.1+cu113
-- Datasets 2.6.1
-- Tokenizers 0.13.2
+- Datasets 1.16.1
+- Tokenizers 0.10.3