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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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## Model description |
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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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## Training Metrics |
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## Model Plot |
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<details> |
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<summary>View Training Plots</summary> |
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</details> |
