update model card README.md

README.md

@@ -8,18 +8,7 @@ metrics:
 - f1
 model-index:
 - name: xlm-roberta-base-finetuned-panx-fr
-  results:
-  - task:
-      name: Token Classification
-      type: token-classification
-    dataset:
-      name: xtreme
-      type: xtreme
-      args: PAN-X.fr
-    metrics:
-    - name: F1
-      type: f1
-      value: 0.835464333781965
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +18,8 @@ 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: 0.2867
-- F1: 0.8355
+- Loss: 0.1418
+- F1: 0.9061
 
 ## Model description
 
@@ -50,25 +39,24 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 24
-- eval_batch_size: 24
+- train_batch_size: 10
+- eval_batch_size: 10
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.5817        | 1.0   | 191  | 0.3395          | 0.7854 |
-| 0.2617        | 2.0   | 382  | 0.2856          | 0.8278 |
-| 0.1708        | 3.0   | 573  | 0.2867          | 0.8355 |
+| 0.5245        | 1.0   | 458  | 0.2461          | 0.8388 |
+| 0.239         | 2.0   | 916  | 0.1418          | 0.9061 |
 
 
 ### Framework versions
 
 - Transformers 4.11.3
-- Pytorch 1.11.0+cu113
+- Pytorch 1.12.0+cu113
 - Datasets 1.16.1
 - Tokenizers 0.10.3