WANDB_ENTITY=NbAiLab WANDB_PROJECT=wav2vec2 python run_speech_recognition_ctc.py \
        --model_name_or_path="facebook/wav2vec2-xls-r-1b" \
        --hub_model_id="NbAiLab/wav2vec2-1b-nst" \
        --dataset_name="NbAiLab/NST" \
        --dataset_config="no-close" \
        --output_dir="./" \
        --num_train_epochs="40" \
        --per_device_train_batch_size="12" \
        --per_device_eval_batch_size="12" \
        --gradient_accumulation_steps="2" \
        --learning_rate="2e-5" \
        --warmup_steps="2000" \
        --length_column_name="input_length" \
        --evaluation_strategy="steps" \
        --text_column_name="text" \
        --save_steps="500" \
        --eval_steps="500" \
        --logging_steps="100" \
        --layerdrop="0.041" \
        --attention_dropout="0.094" \
        --activation_dropout="0.055" \
        --hidden_dropout="0.047" \
        --save_total_limit="3" \
        --freeze_feature_encoder \
        --feat_proj_dropout="0.04" \
        --mask_time_prob="0.082" \
        --mask_time_length="10" \
        --mask_feature_prob="0.25" \
        --mask_feature_length="64" \
        --gradient_checkpointing \
        --min_duration_in_seconds="0.5" \
        --max_duration_in_seconds="30.0" \
        --use_auth_token \
        --seed="42" \
        --fp16 \
        --group_by_length \
        --do_train --do_eval \
        --push_to_hub \
        --preprocessing_num_workers="32" \
        --ctc_zero_infinity