python run_flax_speech_recognition_ctc.py \ | |
--model_name_or_path="speech-seq2seq/flax-wav2vec2-large-lv60-scan" \ | |
--tokenizer_name="sanchit-gandhi/wav2vec2-ctc-switchboard-black-box-tokenizer" \ | |
--dataset_name="ldc/switchboard" \ | |
--dataset_config_name="all" \ | |
--train_split_name="train.fisher+train.switchboard" \ | |
--eval_split_name="validation" \ | |
--test_split_name="test.switchboard+test.callhome" \ | |
--text_column_name="test" \ | |
--output_dir="./flax-wav2vec2-ctc-switchboard-fisher-black-box" \ | |
--wandb_project="switchboard" \ | |
--wandb_name="flax-wav2vec2-ctc-switchboard-fisher-black-box" \ | |
--dataset_cache_dir="/home/sanchitgandhi/cache/huggingface/datasets" \ | |
--max_steps="50000" \ | |
--save_steps="10000" \ | |
--eval_steps="10000" \ | |
--learning_rate="3e-4" \ | |
--logging_steps="25" \ | |
--warmup_steps="5000" \ | |
--preprocessing_num_workers="1" \ | |
--do_lower_case="False" \ | |
--do_train \ | |
--do_eval \ | |
--do_predict \ | |
--overwrite_output_dir \ | |
--gradient_checkpointing \ | |
--freeze_feature_encoder \ | |
--push_to_hub \ | |
--use_auth_token |