caurdy's picture
Update README.md
e66716c
|
raw
history blame
363 Bytes
metadata
license: afl-3.0

FineTuned wav2vec2 large 960H lv60 self pre-trained facebook model on 72 Hours of MI Diaries Data

WER 13 % -> 9% on 20 min test set

model = Wav2Vec2ForCTC.from_pretrained("caurdy/wav2vec2-large-960h-lv60-self_MIDIARIES_72H_FT") 'processor = Wav2Vec2Processor.from_pretrained("caurdy/wav2vec2-large-960h-lv60-self_MIDIARIES_72H_FT")`