update model card README.md

README.md

@@ -2,11 +2,26 @@
 license: mit
 tags:
 - generated_from_trainer
+datasets:
+- xtreme
 metrics:
 - f1
 model-index:
 - name: xlm-roberta-base-finetuned-panx-de-fr
-  results: []
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: xtreme
+      type: xtreme
+      config: PAN-X.fr
+      split: train
+      args: PAN-X.fr
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.04497955474784189
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xlm-roberta-base-finetuned-panx-de-fr
 
-This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+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: 0.1657
-- F1: 0.8399
+- Loss: 1.4147
+- F1: 0.0450
 
 ## Model description
 
@@ -48,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 90   | 0.2030          | 0.8044 |
-| No log        | 2.0   | 180  | 0.1746          | 0.8312 |
-| No log        | 3.0   | 270  | 0.1657          | 0.8399 |
+| No log        | 1.0   | 3    | 1.8612          | 0.1509 |
+| No log        | 2.0   | 6    | 1.4875          | 0.0266 |
+| No log        | 3.0   | 9    | 1.4147          | 0.0450 |
 
 
 ### Framework versions