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