python run_speech_recognition_ctc.py \ --dataset_name="NbAiLab/NPSC" \ --model_name_or_path="facebook/wav2vec2-xls-r-300m" \ --dataset_config_name="16K_mp3" \ --data_cache_dir="/mnt/lv_ai_1_ficino/rolvb/cache" \ --output_dir="./" \ --overwrite_output_dir \ --num_train_epochs="20" \ --per_device_train_batch_size="16" \ --per_device_eval_batch_size="16" \ --gradient_accumulation_steps="4" \ --learning_rate="7.5e-5" \ --warmup_steps="2000" \ --length_column_name="input_length" \ --evaluation_strategy="steps" \ --text_column_name="text" \ --save_steps="250" \ --eval_steps="250" \ --logging_steps="50" \ --layerdrop="0.1" \ --activation_dropout="0.1" \ --save_total_limit="3" \ --freeze_feature_encoder \ --feat_proj_dropout="0.0" \ --mask_time_prob="0.75" \ --mask_time_length="10" \ --mask_feature_prob="0.25" \ --mask_feature_length="64" \ --chars_to_ignore , ? . ! \- \; \: \" “ % ‘ ” � — ’ … – _ \\ + \# / \ --gradient_checkpointing \ --use_auth_token \ --fp16 \ --group_by_length \ --do_train --do_eval \ --push_to_hub \ --preprocessing_num_workers="8" \ --run_name="long_warmup"