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---
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license: apache-2.0
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---
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license: apache-2.0
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datasets:
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- techiaith/commonvoice_18_0_cy_en
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language:
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- cy
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- en
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base_model:
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- openai/whisper-base
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pipeline_tag: automatic-speech-recognition
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tags:
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- whisper.cpp
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---
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# whisper-base-ft-cv-cy-en-cpp
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This model is a version of the [openai/whisper-base](https://huggingface.co/openai/whisper-base) model, fine-tuned on the
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[techiaith/commonvoice_18_0_cy_en](https://huggingface.co/datasets/techiaith/commonvoice_18_0_cy_en) dataset, and then
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[converted for use in whisper.cpp](https://github.com/ggerganov/whisper.cpp/tree/master/models#fine-tuned-models). Whispercpp is
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a C/C++ port of Whisper that provides high performance inference on offline hardware such as desktops, laptops and mobile devices.
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The model is a smaller in size to the corresponding cloud hosted model [techiaith/whisper-large-v3-ft-cv-cy-en](https://huggingface.co/techiaith/whisper-large-v3-ft-cv-cy-en)
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Since the model is smaller in size, it achieves a success rate of 98.34% on detecting the correct language,
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while for transcribing it achieves the following WER results:
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- Welsh: 40.10
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- English: 30.9
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