readme: ---
  language: en
  datasets:
  - librispeech_asr
  tags:
  - speech
  - audio
  - automatic-speech-recognition
  license: apache-2.0
  ---
  
  # Distil-wav2vec2 
  This model is a distilled version of the wav2vec2 model (https://arxiv.org/pdf/2006.11477.pdf). This model is 45% times smaller and twice as fast as the original wav2vec2 base model.
  
  # Evaluation results
  This model achieves the following results (speed is mesured for a batch size of 64): 
  
  |Model| Size| WER Librispeech-test-clean |WER Librispeech-test-other|Speed on cpu|speed on gpu| 
  |----------| ------------- |-------------|-----------| ------|----|
  |Distil-wav2vec2| 197.9 Mb | 0.0983 | 0.2266|0.4006s| 0.0046s|
  |wav2vec2-base| 360 Mb | 0.0389 | 0.1047|0.4919s| 0.0082s|
  
  
  # Usage
  notebook (executes seamlessly on google colab) at https://github.com/OthmaneJ/distil-wav2vec2
  