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#!/usr/bin/env bash |
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python -m torch.distributed.launch \ |
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--nproc_per_node 2 run_speech_recognition_ctc.py \ |
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--dataset_name="common_voice" \ |
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--model_name_or_path="facebook/wav2vec2-xlarge-xlsr-129" \ |
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--dataset_config_name="tr" \ |
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--output_dir="./wav2vec2-xlarge-129-common_voice-tr-demo-eval" \ |
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--overwrite_output_dir \ |
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--num_train_epochs="30" \ |
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--per_device_train_batch_size="2" \ |
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--gradient_accumulation_steps="8" \ |
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--learning_rate="5e-5" \ |
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--warmup_steps="500" \ |
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--evaluation_strategy="steps" \ |
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--text_column_name="sentence" \ |
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--save_steps="100" \ |
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--eval_steps="100" \ |
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--logging_steps="1" \ |
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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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--do_eval \ |
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--gradient_checkpointing \ |
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--use_auth_token \ |
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--do_train --do_eval \ |
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--push_to_hub \ |
