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