Update README.md

README.md

@@ -38,6 +38,19 @@ model-index:
     - name: Wer
       type: wer
       value: 16.29
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: google/fleurs fr_fr
+      type: google/fleurs
+      config: fr_fr
+      split: test
+      args: fr_fr
+    metrics:
+    - name: Wer
+      type: wer
+      value: 13.98
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -50,6 +63,7 @@ It achieves the following results on the evaluation set:
 - Loss: 0.00
 - WER on `mozilla-foundation/common_voice_11_0` FR (with normalization): 15.38 %
 - WER on `facebook/voxpopuli` FR (with normalization): 16.29 %
+- WER on `google/fleurs` fr_fr (with normalization): 13.98 %
 
 ## Model description