Update README.md

README.md

@@ -55,6 +55,20 @@ model-index:
     - name: WER
       type: wer
       value: 4.66
+  - task:
+      type: Automatic Speech Recognition
+      name: speech-recognition
+    dataset:
+      name: VoxPopuli
+      type: facebook/voxpopuli
+      config: es
+      split: es
+      args:
+        language: es
+    metrics:
+    - name: WER
+      type: wer
+      value: 8.37
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -72,13 +86,13 @@ Using the script provided in the Whisper Sprint (Dec. 2022) the models achieves
 - **google/fleurs: 4.03 %**  
 (python [run_eval_whisper_streaming.py](https://github.com/huggingface/community-events/blob/main/whisper-fine-tuning-event/run_eval_whisper_streaming.py) --model_id="deepdml/whisper-medium-mix-es" --dataset="google/fleurs" --config="es_419" --device=0 --language="es")
 
-- **facebook/multilingual_librispeech: 4.66 %**
+- **facebook/multilingual_librispeech: 4.66 %**  
 (python run_eval_whisper_streaming.py --model_id="deepdml/whisper-medium-mix-es" --dataset="facebook/multilingual_librispeech" --config="spanish" --device=0 --language="es")
 
 - **facebook/voxpopuli: 8.37 %**  
 (python run_eval_whisper_streaming.py --model_id="deepdml/whisper-medium-mix-es" --dataset="facebook/voxpopuli" --config="es" --device=0 --language="es")
 
-- **mozilla-foundation/common_voice_11_0: Calculating...**
+- **mozilla-foundation/common_voice_11_0: Calculating...**  
 (python run_eval_whisper_streaming.py --model_id="deepdml/whisper-medium-mix-es" --dataset="mozilla-foundation/common_voice_11_0" --config="es" --device=0 --language="es")