python run_speech_recognition_ctc_bnb.py \ --model_name_or_path="facebook/wav2vec2-xls-r-300m" \ --dataset_name="openslr_SLR66" \ --train_split_name="train" \ --preprocessing_num_workers="8" \ --output_dir="./" \ --overwrite_output_dir \ --num_train_epochs="100" \ --per_device_train_batch_size="4" \ --per_device_eval_batch_size="4" \ --gradient_accumulation_steps="8" \ --learning_rate="7.5e-5" \ --warmup_steps="2000" \ --length_column_name="input_length" \ --evaluation_strategy="steps" \ --text_column_name="sentence" \ --chars_to_ignore , ? . ! \- \; \: \" “ % ‘ ” � — ’ … – \ --save_steps="500" \ --eval_steps="500" \ --logging_steps="100" \ --layerdrop="0.0" \ --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" \ --gradient_checkpointing \ --use_auth_token \ --fp16 \ --group_by_length \ --do_train --do_eval \ --push_to_hub