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python run_speech_recognition_ctc_for_cgn.py \
--dataset_name="/project_antwerp/xlsr/data/cgn/cgn_dataset_16k" \
--train_split_name="train" \
--eval_split_name="test" \
--text_column_name="text" \
--audio_column_name="audio" \
--length_column_name="input_length" \
--min_duration_in_seconds="1.0" \
--max_duration_in_seconds="20.0" \
--model_name_or_path="./output.step1/" \
--tokenizer_name_or_path="./output.step1/" \
--output_dir="./output.step2" \
--num_train_epochs="1" \
--ignore_data_skip \
--seed 43 \
--per_device_train_batch_size="8" \
--gradient_accumulation_steps="4" \
--learning_rate="3e-5" \
--warmup_steps="2000" \
--evaluation_strategy="steps" \
--save_steps="1000" \
--eval_steps="3000" \
--layerdrop="0.0" \
--save_total_limit="4" \
--freeze_feature_encoder \
--gradient_checkpointing \
--chars_to_ignore , ? . ! - \; \: \" “ % ‘ ” � _ \
--fp16 \
--group_by_length \
--do_train --do_eval
# --preprocessing_num_workers="4" \
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