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README.md
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base_model: openai/whisper-base
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datasets:
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- mozilla-foundation/common_voice_17_0
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metrics:
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- wer
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model-index:
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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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should probably proofread and complete it, then remove this comment. -->
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# Whisper
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 17.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5065
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- Wer: 19.9389
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- Transformers 4.42.0.dev0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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base_model: openai/whisper-base
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datasets:
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- mozilla-foundation/common_voice_17_0
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- google/fleurs
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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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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Whisper base mixed-English
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the "en" datasets:
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- mozilla-foundation/common_voice_17_0
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- google/fleurs
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- facebook/voxpopuli
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It achieves the following results on the evaluation set:
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- Loss: 0.5065
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- Wer: 19.9389
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| 109 |
- Transformers 4.42.0.dev0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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