update model card README.md

README.md

@@ -15,11 +15,13 @@ model-index:
     dataset:
       name: xtreme
       type: xtreme
+      config: PAN-X.fr
+      split: train
       args: PAN-X.fr
     metrics:
     - name: F1
       type: f1
-      value: 0.9324554986588638
+      value: 0.8299296953465015
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +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: 0.1031
-- F1: 0.9325
+- Loss: 0.2848
+- F1: 0.8299
 
 ## Model description
 
@@ -50,8 +52,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- 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
@@ -61,14 +63,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.5618        | 1.0   | 287  | 0.2482          | 0.8121 |
-| 0.2582        | 2.0   | 574  | 0.1368          | 0.9068 |
-| 0.1653        | 3.0   | 861  | 0.1031          | 0.9325 |
+| 0.5989        | 1.0   | 191  | 0.3383          | 0.7928 |
+| 0.2617        | 2.0   | 382  | 0.2966          | 0.8318 |
+| 0.1672        | 3.0   | 573  | 0.2848          | 0.8299 |
 
 
 ### Framework versions
 
-- Transformers 4.11.3
-- Pytorch 1.11.0+cu113
-- Datasets 1.16.1
-- Tokenizers 0.10.3
+- Transformers 4.21.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1