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python run_speech_recognition_ctc_bnb.py \ |
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--dataset_name="NbAiLab/NPSC" \ |
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--dataset_config_name="16K_mp3" \ |
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--text_column_name="text" \ |
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--model_name_or_path="facebook/wav2vec2-xls-r-300m" \ |
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--hub_model_id="NbAiLab/wav2vec2-xlsr-300m-test" \ |
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--preprocessing_num_workers="8" \ |
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--output_dir="./" \ |
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--overwrite_output_dir \ |
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--num_train_epochs="20" \ |
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--per_device_train_batch_size="16" \ |
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--per_device_eval_batch_size="16" \ |
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--gradient_accumulation_steps="4" \ |
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--learning_rate="7.5e-5" \ |
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--warmup_steps="100" \ |
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--evaluation_strategy="steps" \ |
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--length_column_name="input_length" \ |
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--chars_to_ignore , ? . ! \- \; \: \" " % ‘ " � — ’ … – \ |
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--save_steps="250" \ |
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--eval_steps="250" \ |
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--logging_steps="100" \ |
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--layerdrop="0.0" \ |
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--activation_dropout="0.1" \ |
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--save_total_limit="3" \ |
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--freeze_feature_encoder \ |
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--feat_proj_dropout="0.0" \ |
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--mask_time_prob="0.75" \ |
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--mask_time_length="10" \ |
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--mask_feature_prob="0.25" \ |
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--mask_feature_length="64" \ |
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--gradient_checkpointing \ |
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--use_auth_token \ |
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--fp16 \ |
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--group_by_length \ |
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--do_train --do_eval \ |
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--max_eval_samples="1000" \ |
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--push_to_hub |
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