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#!/usr/bin/env bash |
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python run_parler_tts_training.py \ |
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--model_name_or_path parler-tts/parler_tts_mini_v0.1 \ |
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--feature_extractor_name parler-tts/dac_44khZ_8kbps \ |
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--description_tokenizer_name parler-tts/parler_tts_mini_v0.1 \ |
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--prompt_tokenizer_name parler-tts/parler_tts_mini_v0.1 \ |
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--report_to wandb \ |
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--overwrite_output_dir true \ |
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--train_dataset_name reach-vb/expresso-tagged-mistral-7b-instruct-v0.2 \ |
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--train_metadata_dataset_name reach-vb/expresso-tagged-mistral-7b-instruct-v0.2 \ |
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--train_dataset_config_name read \ |
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--train_split_name train \ |
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--eval_dataset_name reach-vb/expresso-tagged-mistral-7b-instruct-v0.2 \ |
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--eval_metadata_dataset_name reach-vb/expresso-tagged-mistral-7b-instruct-v0.2 \ |
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--eval_dataset_config_name read \ |
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--eval_split_name train \ |
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--max_eval_samples 8 \ |
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--per_device_eval_batch_size 16 \ |
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--target_audio_column_name audio \ |
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--description_column_name text_description \ |
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--prompt_column_name text \ |
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--max_duration_in_seconds 20 \ |
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--min_duration_in_seconds 2.0 \ |
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--max_text_length 400 \ |
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--preprocessing_num_workers 2 \ |
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--do_train true \ |
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--num_train_epochs 10 \ |
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--gradient_accumulation_steps 4 \ |
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--gradient_checkpointing true \ |
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--per_device_train_batch_size 32 \ |
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--learning_rate 8e-5 \ |
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--adam_beta1 0.9 \ |
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--adam_beta2 0.99 \ |
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--weight_decay 0.01 \ |
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--warmup_steps 250 \ |
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--logging_steps 2 \ |
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--freeze_text_encoder true \ |
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--audio_encoder_per_device_batch_size 4 \ |
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--dtype bfloat16 \ |
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--seed 456 \ |
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--output_dir ./ \ |
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--temporary_save_to_disk ../audio_code_tmp/ \ |
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--save_to_disk ../tmp_dataset_audio/ \ |
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--dataloader_num_workers 4 \ |
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--do_eval \ |
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--predict_with_generate \ |
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--include_inputs_for_metrics \ |
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--group_by_length true \ |
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--push_to_hub |
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