python -m torch.distributed.launch \
    --nproc_per_node=8 \
    run_xtreme_s.py \
    --model_name_or_path="facebook/wav2vec2-xls-r-300m" \
    --task="mls" \
    --language="all" \
    --eval_split_name="test" \
    --output_dir="xtreme_s_xlsr_300m_mls" \
    --overwrite_output_dir \
    --num_train_epochs=100 \
    --per_device_train_batch_size=4 \
    --per_device_eval_batch_size=1 \
    --gradient_accumulation_steps=2 \
    --learning_rate="3e-4" \
    --warmup_steps=3000 \
    --evaluation_strategy="steps" \
    --max_duration_in_seconds=20 \
    --save_steps=500 \
    --eval_steps=500 \
    --logging_steps=1 \
    --layerdrop=0.0 \
    --mask_time_prob=0.3 \
    --mask_time_length=10 \
    --mask_feature_prob=0.1 \
    --mask_feature_length=64 \
    --freeze_feature_encoder \
    --gradient_checkpointing \
    --fp16 \
    --group_by_length \
    --do_train \
    --do_eval \
    --metric_for_best_model="wer" \
    --greater_is_better=False \
    --load_best_model_at_end \
    --push_to_hub