python run_speech_recognition_ctc.py \
	--dataset_name="mozilla-foundation/common_voice_8_0" \
	--dataset_config_name="hy-AM" \
	--model_name_or_path="facebook/wav2vec2-xls-r-300m" \
	--tokenizer_name_or_path="./" \
	--output_dir="./" \
	--overwrite_output_dir \
    --max_steps 1200 \
	--num_train_epochs="50" \
	--per_device_train_batch_size="64" \
	--per_device_eval_batch_size="64" \
	--gradient_accumulation_steps="2" \
	--dataloader_num_workers 8 \
	--learning_rate="1e-4" \
	--warmup_ratio 0.1 \
	--evaluation_strategy="steps" \
	--text_column_name="sentence" \
	--chars_to_ignore \, \? \. \! \- \; \: \" \“ \% \‘ \” \� \' « » \( \) ։ ՝ ՞ ՛ ՚ \
	--save_steps="100" \
	--eval_steps="100" \
	--logging_steps="100" \
	--save_total_limit="4" \
	--freeze_feature_encoder \
	--layerdrop="0.05" \
	--activation_dropout="0.1" \
	--feat_proj_dropout="0.0" \
	--mask_time_prob="0.75" \
	--mask_time_length="10" \
	--mask_feature_prob="0.25" \
	--mask_feature_length="64" \
	--gradient_checkpointing \
	--use_auth_token \
	--fp16 \
	--group_by_length \
	--do_train --do_eval \
	--load_best_model_at_end \
	--report_to all \
	--run_name xlsr-hy-cv-1 \
	--wandb_project xlsr-hy \
	--bnb --tristage_sched