Update WER on CV

README.md

@@ -12,6 +12,20 @@ metrics:
 model-index:
 - name: Whisper Small Basque
   results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 17.0
+      type: mozilla-foundation/common_voice_17_0
+      config: eu
+      split: test
+      args:
+        language: eu
+    metrics:
+      - name: Test WER
+        type: wer
+        value: 8.33
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
@@ -33,6 +47,7 @@ This model is a fine-tuned version of [openai/whisper-small](https://huggingface
 It achieves the following results on the evaluation set:
 - Loss: 0.1836
 - Wer: 10.8862
+- Wer on Mozilla Common Voice, `test` split: **8.33**
 
 ## Model description