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python run_speech_recognition_ctc.py \
--dataset_name="/Data" \
--model_name_or_path="facebook/wav2vec2-xls-r-300m" \
--dataset_config_name="ur" \
--output_dir="./Model" \
--overwrite_output_dir \
--num_train_epochs="200" \
--per_device_train_batch_size="32" \
--per_device_eval_batch_size="8" \
--gradient_accumulation_steps="2" \
--learning_rate="1e-4" \
--warmup_steps="1000" \
--length_column_name="input_length" \
--evaluation_strategy="steps" \
--text_column_name="sentence" \
--save_steps="500" \
--eval_steps="500" \
--logging_steps="500" \
--layerdrop="0.0" \
--activation_dropout="0.1" \
--save_total_limit="2" \
--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 \
--fp16 \
--group_by_length \
--do_train --do_eval
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