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- ---
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- language: sv
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- license: apache-2.0
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- tags:
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- - seq-2-seq asr
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- - whisper
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- datasets:
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- - mozilla-foundation/common_voice_11_0
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- library_name: torch
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- ---
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-
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- ## Model description
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-
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- This model is a fine-tuned version of OpenAI's pre-trained Whisper small. [Source](https://github.com/openai/whisper)
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- The model were trained on 680 000 hours of audio with corresponding transcripts from the internet, 65% of which was in english audio and 83 % of which had english transcripts.
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- The model was then further trained for 4000 iterations, 500 of which as warm-up, on Swedish data from [Common_voice 11.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0). Achieving a WER of 19.865.
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-
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-
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- ## Training Metrics
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- ![Training table](whisper_finetune.png)
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- ## Model Plot
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-
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- <details>
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- <summary>View Training Plots</summary>
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-
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- ![Metrics](whisper_metrics.png)
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-
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- </details>