python run_speech_recognition_ctc.py  	--dataset_name="openslr"  	--model_name_or_path="facebook/wav2vec2-xls-r-300m"  	--dataset_config_name="SLR53"  	--output_dir="./wav2vec2-xls-r-300m-bengali"  	--overwrite_output_dir  	--num_train_epochs="50"  	--per_device_train_batch_size="32"  	--per_device_eval_batch_size="32"  	--gradient_accumulation_steps="1"  	--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="2000"  	--eval_steps="3000"  	--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"      --preprocessing_num_workers 32  	--gradient_checkpointing  	--use_auth_token  	--fp16  	--group_by_length  	--do_train --do_eval      --report_to wandb      --min_duration_in_seconds 0.5  	--push_to_hub