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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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# whisper-large-v3-turbo-OpenSLR-GL
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This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on [juanjucm/OpenSLR-SpeechT-GL-EN](https://huggingface.co/datasets/juanjucm/OpenSLR-SpeechT-GL-EN).
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- Loss: 0.1613
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- Wer: 10.6845
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-06
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- train_batch_size: 16
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- eval_batch_size: 8
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# whisper-large-v3-turbo-OpenSLR-GL
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This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) trained on [juanjucm/OpenSLR-SpeechT-GL-EN](https://huggingface.co/datasets/juanjucm/OpenSLR-SpeechT-GL-EN). for **Galician Text to Speech** task. It takes galician speech audios as input and generates the correspondant transcription.
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This Automatic Speech Recognition model, was developed to be the first stage of a Speech Translation cascade system for transcribing and translating Galician audios into English texts. After this first STT step, this [Galician-to-English MT model](https://huggingface.co/juanjucm/nllb-200-distilled-600M-OpenSLR-GL-EN) can applied over the generated Galician transcriptions to get English text translations.
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The motivation behind this work is to increase the visibility of the Galician language, making it more accessible for non-Galician speakers to understand and engage with Galician audio content.
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This model was developed during a 3-week Speech Translation workshop organised by [Yasmin Moslem](https://huggingface.co/ymoslem).
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### Performance and training details
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This model was developed during a 3-week Speech Translation workshop organised by [Yasmin Moslem](https://huggingface.co/ymoslem).
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- Loss: 0.1613
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- Wer: 10.6845
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The following hyperparameters were used during training:
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- learning_rate: 3e-06
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- train_batch_size: 16
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- eval_batch_size: 8
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