run.sh

python run_speech_recognition_ctc.py \
        --dataset_name="NbAiLab/NPSC" \
        --model_name_or_path="facebook/wav2vec2-xls-r-300m" \
        --dataset_config_name="16K_mp3" \
        --data_cache_dir="/mnt/lv_ai_1_ficino/rolvb/cache" \
        --output_dir="./" \
        --overwrite_output_dir \
        --num_train_epochs="20" \
        --per_device_train_batch_size="16" \
        --per_device_eval_batch_size="16" \
        --gradient_accumulation_steps="4" \
        --learning_rate="7.5e-5" \
        --warmup_steps="1000" \
        --length_column_name="input_length" \
        --evaluation_strategy="steps" \
        --text_column_name="text" \
        --save_steps="250" \
        --eval_steps="250" \
        --logging_steps="50" \
        --layerdrop="0.1" \
        --activation_dropout="0.1" \
        --save_total_limit="3" \
        --freeze_feature_encoder \
        --feat_proj_dropout="0.0" \
        --mask_time_prob="0.75" \
        --mask_time_length="10" \
        --mask_feature_prob="0.25" \
        --mask_feature_length="64" \
	--chars_to_ignore , ? . ! \- \; \: \" “ % ‘ ” � — ’ … – _ \\ + \# / \
        --gradient_checkpointing \
        --use_auth_token \
        --fp16 \
        --group_by_length \
        --do_train --do_eval \
        --push_to_hub \
        --preprocessing_num_workers="8" \
        --run_name="baseline"