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