python run_speech_recognition_ctc.py \
  --model_name_or_path="facebook/wav2vec2-xls-r-1b" \
--dataset_name="google/fleurs" \
  --dataset_config_name="ps_af" \
--output_dir="./" \
  --overwrite_output_dir="False" \
  --max_steps="1500" \
  --per_device_train_batch_size="8" \
  --per_device_eval_batch_size="8" \
  --gradient_accumulation_steps="4" \
  --learning_rate="5e-05" \
  --warmup_steps="50" \
  --evaluation_strategy="steps" \
  --text_column_name="transcription" \
  --save_steps="500" \
  --eval_steps="500" \
  --logging_steps="10" \
  --layerdrop="0.0" \
  --activation_dropout="0.1" \
  --eval_metrics wer cer \
  --greater_is_better="False" \
  --load_best_model_at_end \
  --save_total_limit="10" \
  --mask_time_prob="0.3" \
  --mask_time_length="10" \
  --mask_feature_prob="0.1" \
  --fp16 \
  --mask_feature_length="64" \
  --chars_to_ignore , ? . ! - \; \: \" “ % ‘ ” � \
  --group_by_length \
  --push_to_hub \
  --do_train --do_eval \
  --gradient_checkpointing \
  --use_auth_token