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@@ -90,7 +90,7 @@ 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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- 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: 4.0266 %**
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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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  - 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 test sets (WER):
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  - **google/fleurs: 4.0266 %**
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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")