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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
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