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@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # whisper-small-fine_tuned-ru-v2-v3
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- This model is a fine-tuned version of [artyomboyko/whisper-small-fine_tuned-ru-v2](https://huggingface.co/artyomboyko/whisper-small-fine_tuned-ru-v2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1329
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  - Wer: 12.6750
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  ## Model description
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- More information needed
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  ## Intended uses & limitations
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- More information needed
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  ## Training and evaluation data
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- More information needed
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  ## Training procedure
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  # whisper-small-fine_tuned-ru-v2-v3
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1329
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  - Wer: 12.6750
 
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  ## Model description
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+ Same as [openai/whisper-small](https://huggingface.co/openai/whisper-small).
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  ## Intended uses & limitations
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+ Same as [openai/whisper-small](https://huggingface.co/openai/whisper-small)
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  ## Training and evaluation data
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+ Fine-tunned on Common Voice 15 dataset.
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  ## Training procedure
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+ According to the article ["Fine-Tune Whisper For Multilingual ASR with 🤗 Transformers"](https://huggingface.co/blog/fine-tune-whisper)
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  ### Training hyperparameters
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  The following hyperparameters were used during training: