Update README.md

README.md

@@ -25,6 +25,19 @@ model-index:
     - name: Wer
       type: wer
       value: 15.38
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: facebook/voxpopuli fr
+      type: facebook/voxpopuli
+      config: fr
+      split: test
+      args: fr
+    metrics:
+    - name: Wer
+      type: wer
+      value: 16.29
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,7 +48,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 fr dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.00
-- WER on `mozilla-foundation/common_voice_11_0` (with normalization): 15.38 %
+- WER on `mozilla-foundation/common_voice_11_0` FR (with normalization): 15.38 %
+- WER on `facebook/voxpopuli` FR (with normalization): 16.29 %
 
 ## Model description