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Input Parameters description


For prepare_data

wav_path: Directory where your data(wav files) is present, if wav files are present in multiple folders put them under one parent directory

valid_percentage: Percentage of data to be used for validation purpose. eg - 0.04 if 4%

For start_pretraining_[base/large]

config_name: This file contains configurable parameters for pretraining

gpus: Number of gpus to use

run_in_nohup: Make it 1 for running training in background

data_path: Contains files made from running prepare_data.sh

checkpoints_path Directory to save and update best and last checkpoints after each epochs

log_path: nohup.out is saved here as <timestamp_of_running>.out

tensordboard_path: Path where tensorboard logs are saved

update_freq: To simulate n gpus by k gpus update frequency will be [n/k]

wav2vec_repo_path: Path of fairseq repositiory.