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python -m torch.distributed.launch \
--nproc_per_node=8 \
run_xtreme_s.py \
--model_name_or_path="facebook/wav2vec2-xls-r-300m" \
--task="voxpopuli" \
--language="en" \
--output_dir="xtreme_s_xlsr_300m_voxpopuli_en" \
--overwrite_output_dir \
--num_train_epochs=10 \
--per_device_train_batch_size=8 \
--per_device_eval_batch_size=1 \
--gradient_accumulation_steps=1 \
--eval_accumulation_steps=10 \
--learning_rate="3e-4" \
--ctc_zero_infinity \
--warmup_steps=2000 \
--evaluation_strategy="steps" \
--max_duration_in_seconds=20 \
--preprocessing_num_workers=16 \
--save_steps=500 \
--eval_steps=500 \
--logging_steps=1 \
--layerdrop=0.0 \
--mask_time_prob=0.05 \
--mask_time_length=10 \
--mask_feature_prob=0.05 \
--mask_feature_length=64 \
--freeze_feature_encoder \
--gradient_checkpointing \
--fp16 \
--fp16_full_eval \
--group_by_length \
--do_train \
--do_eval \
--do_predict \
--per_lang_metrics=False \
--metric_for_best_model="wer" \
--greater_is_better=False \
--load_best_model_at_end \
--push_to_hub |