python run_speech_recognition_seq2seq_streaming.py \ --model_name_or_path="openai/whisper-tiny" \ --dataset_name="NbAiLab/NCC_S" \ --language="Norwegian" \ --train_split_name="train" \ --eval_split_name="validation" \ --model_index_name="Whisper Tiny Norwegian Bokmål" \ --max_steps="100000" \ --output_dir="./" \ --per_device_train_batch_size="64" \ --per_device_eval_batch_size="32" \ --gradient_accumulation_step="2" \ --logging_steps="50" \ --learning_rate="1e-5" \ --lr_scheduler_type="constant_with_warmup" \ --warmup_steps="1000" \ --evaluation_strategy="steps" \ --eval_steps="500" \ --save_strategy="steps" \ --save_steps="500" \ --generation_max_length="225" \ --length_column_name="duration" \ --max_duration_in_seconds="30" \ --text_column_name="text" \ --freeze_feature_encoder="False" \ --report_to="tensorboard" \ --metric_for_best_model="wer" \ --greater_is_better="False" \ --load_best_model_at_end \ --gradient_checkpointing \ --fp16 \ --overwrite_output_dir \ --do_train \ --do_eval \ --predict_with_generate \ --do_normalize_eval \ --use_auth_token \ --push_to_hub \ --push_to_hub_organization="NbAiLab" \ --push_to_hub_model_id="whisper-tiny-nob"