python run_speech_recognition_ctc.py \ --dataset_name="/Data" \ --model_name_or_path="facebook/wav2vec2-xls-r-300m" \ --dataset_config_name="ur" \ --output_dir="./Model" \ --overwrite_output_dir \ --num_train_epochs="200" \ --per_device_train_batch_size="32" \ --per_device_eval_batch_size="8" \ --gradient_accumulation_steps="2" \ --learning_rate="1e-4" \ --warmup_steps="1000" \ --length_column_name="input_length" \ --evaluation_strategy="steps" \ --text_column_name="sentence" \ --save_steps="500" \ --eval_steps="500" \ --logging_steps="500" \ --layerdrop="0.0" \ --activation_dropout="0.1" \ --save_total_limit="2" \ --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 \ --fp16 \ --group_by_length \ --do_train --do_eval