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README.md

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----
-language: sv
-license: apache-2.0
-tags:
-- seq-2-seq asr
-- whisper
-datasets:
-- mozilla-foundation/common_voice_11_0
-library_name: torch
----
-
-## Model description
-
-This model is a fine-tuned version of OpenAI's pre-trained Whisper small. [Source](https://github.com/openai/whisper)
-
-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.
-
-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.
-
-
- ## Training Metrics
-![Training table](whisper_finetune.png)
- ## Model Plot
-
-<details>
-<summary>View Training Plots</summary>
-
-![Metrics](whisper_metrics.png)
-
-</details>