Update metrics

README.md

@@ -13,8 +13,8 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_11_0
-      type: common_voice_11_0
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
       config: es
       split: test
       args: es
@@ -33,6 +33,9 @@ This model is a fine-tuned version of [juancopi81/whisper-medium-es](https://hug
 It achieves the following results on the evaluation set:
 - Loss: 0.1893
 - Wer: 5.9456
+Using the script provided in the Whisper Sprint (Dec. 2022) the models achieves these results on the evaluation sets (WER):
+- google/fleurs: 6.9
+- mozilla-foundation/common_voice_11_0: 5.37
 
 ## Model description