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python kyrgiz/run_speech_recognition_ctc.py \
	--dataset_name="mozilla-foundation/common_voice_8_0" \
	--model_name_or_path="facebook/wav2vec2-xls-r-300m" \
	--dataset_config_name="ky" \
    --train_split_name="train+validation[:50%]" \
    --eval_split_name="validation[50%:]" \
	--output_dir="./xls-r-kyrgiz-cv8" \
	--overwrite_output_dir \
	--num_train_epochs="50" \
	--per_device_train_batch_size="16" \
	--per_device_eval_batch_size="8" \
	--gradient_accumulation_steps="4" \
	--learning_rate="1e-4" \
	--warmup_steps="250" \
	--length_column_name="input_length" \
	--evaluation_strategy="steps" \
	--text_column_name="sentence" \
	--chars_to_ignore , ? . ! \- \; \: \\ _ \| ‒ ☺ ♂ © « ¬ » \" „ “ % ” �  — ’ ، ؛ ؟ ‹ › − … – \
	--eval_metrics="wer" \
	--save_steps="500" \
	--eval_steps="500" \
	--logging_steps="100" \
	--min_duration_in_seconds="0.2" \
	--layerdrop="0.01" \
	--activation_dropout="0.1" \
	--save_total_limit="3" \
	--freeze_feature_encoder \
	--feat_proj_dropout="0.01" \
	--mask_time_prob="0.50" \
	--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 \
	--push_to_hub