pytorch tensorboard wav2vec2 automatic-speech-recognition transformers
swadeshi_hindiwav2vec2asr/ is a Hindi speech recognition model which is a fine tuned version of the theainerd/Wav2Vec2-large-xlsr-hindi model. The model achieved a Word Error Rate of 0.738 when trained when with 12 Hours of MUCS data with 30 epochs and given a batch size of 12. 