python src/run_speech_recognition_seq2seq_streaming.py \ --model_name_or_path="openai/whisper-base" \ --dataset_name="mozilla-foundation/common_voice_11_0" \ --dataset_config_name="be" \ --language="be" \ --train_split_name="train" \ --eval_split_name="validation" \ --model_index_name="Whisper Base Belarusian" \ \ --max_steps="6000" \ --output_dir="./" \ --per_device_train_batch_size="64" \ --per_device_eval_batch_size="32" \ --logging_steps="50" \ --logging_first_step \ --learning_rate="1e-4" \ --warmup_steps="500" \ --evaluation_strategy="steps" \ --eval_steps="1000" \ --save_strategy="steps" \ --save_steps="1000" \ --gradient_checkpointing \ --fp16 \ \ --shuffle_buffer_size="500" \ --generation_max_length="225" \ --max_duration_in_seconds="30" \ --text_column_name="sentence" \ --freeze_feature_encoder="False" \ --report_to="tensorboard" \ --metric_for_best_model="wer" \ --greater_is_better="False" \ --load_best_model_at_end \ \ --do_train \ --do_eval \ --ignore_data_skip \ --predict_with_generate \ --do_normalize_eval \ --streaming_train="True" \ --streaming_eval="False" \ --use_auth_token \ --push_to_hub \ --hub_model_id="ales/whisper-base-belarusian"