|
python run_phoneme_recognition_ctc.py \ |
|
--dataset_name "custom_datasets/aihub_broadcast_pr" "librispeech_asr" \ |
|
--model_name_or_path="facebook/wav2vec2-base" \ |
|
--dataset_config_name "clean" "clean" \ |
|
--train_split_name "train[:15%]" "train.100" \ |
|
--eval_split_name "validation[:8%]" "validation" \ |
|
--audio_column_name "audio" "audio" \ |
|
--text_column_name "text" "text" \ |
|
--phoneme_language "ko" "en-us" \ |
|
--output_dir="./saved/wav2vec2-base-en_kr_200h-pr" \ |
|
--cache_dir=".cache" \ |
|
--overwrite_output_dir \ |
|
--preprocessing_num_workers "64" \ |
|
--num_train_epochs="15" \ |
|
--eval_metrics "wer" "cer" \ |
|
--per_device_train_batch_size="32" \ |
|
--per_device_eval_batch_size="1" \ |
|
--gradient_accumulation_steps="1" \ |
|
--learning_rate="1e-4" \ |
|
--weight_decay="0.005" \ |
|
--warmup_steps="1000" \ |
|
--evaluation_strategy="steps" \ |
|
--save_steps="400" \ |
|
--eval_steps="100" \ |
|
--logging_steps="10" \ |
|
--layerdrop="0.0" \ |
|
--save_total_limit="3" \ |
|
--freeze_feature_encoder \ |
|
--ctc_zero_infinity \ |
|
--gradient_checkpointing \ |
|
--chars_to_ignore , ? . ! - \; \: \" \` “ % ‘ ” � "\b" \ |
|
--group_by_length \ |
|
--do_train --do_eval |