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#!/bin/bash |
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python run_speech_recognition_ctc.py \ |
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--dataset_name="common_voice" \ |
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--model_name_or_path="facebook/wav2vec2-xls-r-300m" \ |
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--dataset_config_name="zh-CN" \ |
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--output_dir="./wav2vec2-xls-r-300m-zh-CN" \ |
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--overwrite_output_dir \ |
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--num_train_epochs="50" \ |
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--per_device_train_batch_size="8" \ |
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--per_device_eval_batch_size="8" \ |
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--max_duration_in_seconds="7" \ |
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--max_eval_samples="3000" \ |
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--gradient_accumulation_steps="4" \ |
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--learning_rate="7.5e-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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--save_steps="500" \ |
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--eval_steps="500" \ |
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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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--fp16 \ |
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--group_by_length \ |
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--do_train --do_eval \ |
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