This model is a fine-tuned version of
openai/whisper-small on the Common Voice 11.0 dataset.
The model was initially 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. Achieving a WER of 19.865.
