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#!/usr/bin/env bash |
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CUDA_VISIBLE_DEVICES="1" python run_speech_recognition_ctc.py \ |
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--dataset_name="timit_asr" \ |
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--model_name_or_path="anton-l/distilhubert" \ |
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--overwrite_output_dir \ |
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--output_dir="./distilhubert-timit" \ |
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--train_split_name="train" \ |
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--num_train_epochs="20" \ |
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--per_device_train_batch_size="32" \ |
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--per_device_eval_batch_size="1" \ |
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--weight_decay="0.005" \ |
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--learning_rate="1e-4" \ |
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--warmup_steps="1000" \ |
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--evaluation_strategy="steps" \ |
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--text_column_name="text" \ |
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--save_steps="400" \ |
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--eval_steps="100" \ |
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--logging_steps="10" \ |
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--layerdrop="0.0" \ |
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--save_total_limit="3" \ |
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--freeze_feature_extractor \ |
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--chars_to_ignore , ? . ! - \; \: \" “ % ‘ ” � \ |
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--fp16 \ |
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--group_by_length \ |
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--push_to_hub \ |
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--do_train --do_eval \ |
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--use_auth_token |
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