python run_speech_recognition_ctc.py \ --dataset_name="mozilla-foundation/common_voice_8_0" \ --model_name_or_path="facebook/wav2vec2-xls-r-300m" \ --dataset_config_name="pt" \ --cache_dir="../downloaded_data" \ --output_dir="./" \ --overwrite_output_dir \ --num_train_epochs="15" \ --per_device_train_batch_size="32" \ --per_device_eval_batch_size="32" \ --gradient_accumulation_steps="1" \ --learning_rate="2e-4" \ --warmup_steps="1500" \ --length_column_name="input_length" \ --evaluation_strategy="steps" \ --text_column_name="sentence" \ --save_steps="500" \ --eval_steps="500" \ --logging_steps="100" \ --layerdrop="0.0" \ --activation_dropout="0.05" \ --save_total_limit="3" \ --freeze_feature_encoder \ --feat_proj_dropout="0.0" \ --mask_time_prob="0.65" \ --mask_time_length="10" \ --mask_feature_prob="0.3" \ --mask_feature_length="10" \ --gradient_checkpointing \ --report_to="wandb" \ --run_name="xls-r-300m-fr" \ --max_duration_in_seconds="20" \ --use_auth_token \ --fp16 \ --group_by_length \ --preprocessing_num_workers="64" \ --do_train --do_eval \ --load_best_model_at_end \ --push_to_hub