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@@ -49,6 +49,14 @@ It achieves the following results on the evaluation set:
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  - Loss: 0.1344
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  - Wer: 6.3465
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  ## Model description
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  More information needed
 
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  - Loss: 0.1344
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  - Wer: 6.3465
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+ Using the script provided in the Whisper Sprint (Dec. 2022) the models achieves these results on the evaluation sets (WER):
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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: X.XX %
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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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  ## Model description
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  More information needed