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@@ -7,6 +7,9 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - mozilla-foundation/common_voice_11_0
 
 
 
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  metrics:
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  - wer
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  model-index:
@@ -31,12 +34,27 @@ model-index:
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  dataset:
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  name: FLEURS ASR
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  type: google/fleurs
 
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  split: test
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- args: es_419
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  metrics:
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  - name: WER
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  type: wer
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  value: 4.03
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -53,12 +71,15 @@ Using the script provided in the Whisper Sprint (Dec. 2022) the models achieves
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  - **google/fleurs: 4.03 %**
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  (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")
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- - mozilla-foundation/common_voice_11_0: Calculating...
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- - **facebook/multilingual_librispeech: Calculating...**
 
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  - **facebook/voxpopuli: 8.37 %**
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- (python3 run_eval_whisper_streaming.py --model_id="deepdml/whisper-medium-mix-es" --dataset="facebook/voxpopuli" --config="es" --device=0 --language="es")
 
 
 
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  ## Model description
 
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  - generated_from_trainer
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  datasets:
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  - mozilla-foundation/common_voice_11_0
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+ - google/fleurs
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+ - facebook/multilingual_librispeech
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+ - facebook/voxpopuli
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  metrics:
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  - wer
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  model-index:
 
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  dataset:
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  name: FLEURS ASR
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  type: google/fleurs
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+ config: es_419
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  split: test
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+ args: es
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  metrics:
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  - name: WER
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  type: wer
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  value: 4.03
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: Multilingual LibriSpeech
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+ type: facebook/multilingual_librispeech
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+ config: spanish
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+ split: test
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+ args:
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+ language: es
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+ metrics:
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+ - name: WER
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+ type: wer
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+ value: 4.66
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  - **google/fleurs: 4.03 %**
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  (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")
 
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+ - **facebook/multilingual_librispeech: 4.66 %**
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+ (python run_eval_whisper_streaming.py --model_id="deepdml/whisper-medium-mix-es" --dataset="facebook/multilingual_librispeech" --config="spanish" --device=0 --language="es")
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  - **facebook/voxpopuli: 8.37 %**
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+ (python run_eval_whisper_streaming.py --model_id="deepdml/whisper-medium-mix-es" --dataset="facebook/voxpopuli" --config="es" --device=0 --language="es")
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+
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+ - **mozilla-foundation/common_voice_11_0: Calculating...**
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+ (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")
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  ## Model description