python run_speech_recognition_seq2seq_streaming.py \
        --model_name_or_path="openai/whisper-large-v2" \
	--trainset_name="babelbox/babelbox_voice" \
	--trainset_config_name="nst" \
        --dataset_name="mozilla-foundation/common_voice_11_0" \
        --dataset_config_name="sv-SE" \
        --language="swedish" \
        --train_split_name="train" \
        --eval_split_name="test" \
        --model_index_name="Whisper Large Swedish" \
        --max_steps="5000" \
        --output_dir="./" \
        --per_device_train_batch_size="8" \
        --per_device_eval_batch_size="4" \
	--gradient_accumulation_steps="8" \
        --logging_steps="25" \
        --learning_rate="1e-5" \
        --warmup_steps="500" \
        --evaluation_strategy="steps" \
        --eval_steps="1000" \
        --save_strategy="steps" \
        --save_steps="1000" \
        --generation_max_length="225" \
        --length_column_name="input_length" \
        --max_duration_in_seconds="30" \
        --text_column_name="sentence" \
        --freeze_feature_encoder="False" \
        --report_to="tensorboard" \
        --gradient_checkpointing \
        --fp16 \
        --overwrite_output_dir \
        --do_train \
        --do_eval \
        --predict_with_generate \
        --do_normalize_eval \
        --use_auth_token \
        --push_to_hub