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#!/usr/bin/env bash |
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accelerate launch run_pseudo_labelling.py \ |
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--model_name_or_path "openai/whisper-large-v3" \ |
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--dataset_name "mozilla-foundation/common_voice_16_1" \ |
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--dataset_config_name "de" \ |
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--dataset_split_name "train+validation+test" \ |
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--text_column_name "sentence" \ |
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--id_column_name "path" \ |
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--output_dir "../common_voice_16_1_de_pseudo_labelled" \ |
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--wandb_project "distil-whisper-labelling" \ |
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--per_device_eval_batch_size 64 \ |
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--dtype "bfloat16" \ |
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--attn_implementation "flash_attention_2" \ |
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--logging_steps 500 \ |
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--max_label_length 256 \ |
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--concatenate_audio \ |
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--preprocessing_batch_size 500 \ |
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--preprocessing_num_workers 8 \ |
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--dataloader_num_workers 8 \ |
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--report_to "wandb" \ |
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--language "de" \ |
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--task "transcribe" \ |
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--return_timestamps \ |
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--streaming False \ |
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--generation_num_beams 1 \ |
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--push_to_hub |
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accelerate launch run_distillation.py \ |
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--model_name_or_path "./distil-large-v3-init" \ |
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--teacher_model_name_or_path "openai/whisper-large-v3" \ |
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--train_dataset_name "../common_voice_16_1_de_pseudo_labelled" \ |
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--train_split_name "train" \ |
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--text_column_name "sentence" \ |
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--eval_dataset_name "mozilla-foundation/common_voice_16_1" \ |
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--eval_split_name "validation" \ |
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--eval_text_column_name "sentence" \ |
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--eval_steps 5000 \ |
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--save_steps 5000 \ |
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--warmup_steps 500 \ |
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--learning_rate 0.0001 \ |
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--timestamp_probability 0.2 \ |
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--condition_on_prev_probability 0.2 \ |
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--language "de" \ |
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--task "transcribe" \ |
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--logging_steps 25 \ |
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--save_total_limit 1 \ |
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--max_steps 50000 \ |
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--wer_threshold 10 \ |
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--per_device_train_batch_size 32 \ |
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--per_device_eval_batch_size 32 \ |
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--dataloader_num_workers 8 \ |
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--preprocessing_num_workers 8 \ |
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--ddp_timeout 7200 \ |
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--dtype "bfloat16" \ |
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--attn_implementation "flash_attention_2" \ |
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--output_dir "./" \ |
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--do_train \ |
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--do_eval \ |
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--gradient_checkpointing \ |
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--overwrite_output_dir \ |
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--predict_with_generate \ |
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--freeze_encoder \ |
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--freeze_embed_positions \ |
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--streaming False \ |
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--push_to_hub |
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