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python run_speech_recognition_ctc.py \ |
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--model_name_or_path="facebook/wav2vec2-xls-r-1b" \ |
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--dataset_name="openslr_SLR66" \ |
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--train_split_name="train" \ |
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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="150" \ |
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--per_device_train_batch_size="16" \ |
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--per_device_eval_batch_size="4" \ |
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--gradient_accumulation_steps="2" \ |
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--learning_rate="2e-5" \ |
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--warmup_steps="2000" \ |
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--length_column_name="input_length" \ |
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--evaluation_strategy="steps" \ |
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--text_column_name="sentence" \ |
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--chars_to_ignore , ? . ! \- \; \: \" β % β β οΏ½ β β β¦ β \ |
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--save_steps="500" \ |
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--eval_steps="500" \ |
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--logging_steps="10" \ |
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--layerdrop="0.0" \ |
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--activation_dropout="0.1" \ |
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--save_total_limit="2" \ |
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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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--push_to_hub |
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