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#!/usr/bin/env bash |
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export model_path=$1 |
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mkdir -p ${model_path} |
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python run_common_voice.py \ |
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--dataloader_num_workers="8" \ |
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--model_name_or_path="facebook/wav2vec2-large-xlsr-53" \ |
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--dataset_config_name="ar" \ |
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--output_dir=${model_path} \ |
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--num_train_epochs="50" \ |
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--per_device_train_batch_size="16" \ |
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--per_device_eval_batch_size="16" \ |
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--evaluation_strategy="steps" \ |
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--warmup_steps="500" \ |
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--fp16 \ |
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--freeze_feature_extractor \ |
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--save_steps="400" \ |
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--eval_steps="400" \ |
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--logging_steps="400" \ |
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--save_total_limit="1" \ |
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--group_by_length \ |
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--attention_dropout="0.094" \ |
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--activation_dropout="0.055" \ |
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--feat_proj_dropout="0.04" \ |
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--hidden_dropout="0.047" \ |
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--layerdrop="0.041" \ |
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--mask_time_prob="0.082" \ |
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--gradient_checkpointing \ |
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--learning_rate="3e-4" \ |
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--do_train --do_eval |
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