Update README.md

README.md

@@ -57,6 +57,23 @@ model-index:
     - name: Cer
       type: cer
       value: 3.1561
+  - task:
+      type: Automatic Speech Recognition
+      name: speech-recognition
+    dataset:
+      name: VoxPopuli
+      type: facebook/voxpopuli
+      config: fr
+      split: test
+      args:
+        language: fr
+    metrics:
+    - name: WER
+      type: wer
+      value: 10.0653
+    - name: Cer
+      type: cer
+      value: 6.5456
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -69,6 +86,15 @@ It achieves the following results on the evaluation set:
 - Loss: 0.2599
 - Wer: 11.2278
 
+Using the [evalutaion script](https://github.com/huggingface/community-events/blob/main/whisper-fine-tuning-event/run_eval_whisper_streaming.py) provided in the Whisper Sprint the model achieves these results on the test sets (WER):
+
+- **google/fleurs: 9.3526 %**  
+(python run_eval_whisper_streaming.py --model_id="deepdml/whisper-medium-mix-fr" --dataset="google/fleurs" --config="fr_fr" --device=0 --language="fr")
+- **facebook/multilingual_librispeech: 6.3468 %**  
+(python run_eval_whisper_streaming.py --model_id="deepdml/whisper-medium-mix-fr" --dataset="facebook/multilingual_librispeech" --config="french" --device=0 --language="fr")
+- **facebook/voxpopuli: 10.0653 %**  
+(python run_eval_whisper_streaming.py --model_id="deepdml/whisper-medium-mix-fr" --dataset="facebook/voxpopuli" --config="fr" --device=0 --language="fr")
+
 ## Model description
 
 More information needed