Update README.md

README.md

@@ -1,3 +1,12 @@
+---
+license: mit
+datasets:
+- allocine
+language:
+- fr
+tags:
+- camembert
+---
 ## TextAttack Model Card
 
 This `cmarkea/distilcamembert-base` model was fine-tuned using TextAttackand the `allocine` dataset loaded using the `datasets` library. The model was fine-tuned
@@ -7,4 +16,4 @@ Since this was a classification task, the model was trained with a cross-entropy
 The best score the model achieved on this task was 0.9707, as measured by the
 eval set accuracy, found after 3 epochs.
 
-For more information, check out [TextAttack on Github](https://github.com/QData/TextAttack).
+For more information, check out [TextAttack on Github](https://github.com/QData/TextAttack).