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#!/usr/bin/env bash |
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python run_asr.py \ |
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--output_dir="./wav2vec2-base-timit-asr" \ |
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--num_train_epochs="30" \ |
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--per_device_train_batch_size="20" \ |
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--per_device_eval_batch_size="20" \ |
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--evaluation_strategy="steps" \ |
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--save_steps="500" \ |
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--eval_steps="100" \ |
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--logging_steps="50" \ |
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--learning_rate="5e-4" \ |
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--warmup_steps="3000" \ |
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--model_name_or_path="facebook/wav2vec2-base" \ |
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--fp16 \ |
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--dataset_name="timit_asr" \ |
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--train_split_name="train" \ |
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--validation_split_name="test" \ |
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--orthography="timit" \ |
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--preprocessing_num_workers="$(nproc)" \ |
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--group_by_length \ |
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--freeze_feature_extractor \ |
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--verbose_logging \ |
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