Update README.md

README.md

@@ -25,6 +25,32 @@ model-index:
     - name: Wer
       type: wer
       value: 24.064827553489256
+  - 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: 24.20
+  - 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: 23.66
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,7 +61,9 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_11_0 fr dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.4968
-- Wer: 24.0648
+- Wer on `mozilla-foundation/common_voice_11_0` `fr`: 24.0648
+- Wer on `google/fleurs` `fr_fr`: 24.20
+- Wer on `facebook/voxpopuli` `fr`: 23.66
 
 ## Model description