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#!/usr/bin/env bash |
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TCMALLOC_LARGE_ALLOC_REPORT_THRESHOLD=10000000000 python3 run_distillation.py \ |
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--model_name_or_path "distil-whisper/large-32-2" \ |
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--teacher_model_name_or_path "openai/whisper-large-v2" \ |
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--train_dataset_config_name "all+all+all+en+en+ihm+sdm+clean+release3+all+l+all+all+all+release3" \ |
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--train_dataset_samples "2.9+10.4+14.9+89+18.2+10.9+10.9+288+26.8+371.2+226.6+2.9+10.4+14.9+26.8" \ |
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--train_dataset_name "librispeech_asr-timestamped+librispeech_asr-timestamped+librispeech_asr-timestamped+common_voice_13_0-timestamped+voxpopuli-timestamped+ami-ihm-timestamped+ami-sdm-timestamped+peoples_speech-clean-timestamped+tedlium-timestamped+switchboard-data+gigaspeech-l-timestamped+librispeech_asr-prompted+librispeech_asr-prompted+librispeech_asr-prompted+tedlium-prompted" \ |
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--train_split_name "train.clean.100+train.clean.360+train.other.500+train+train+train+train+train+train+train+train+train.clean.100+train.clean.360+train.other.500+train" \ |
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--eval_dataset_name "distil-whisper/gigaspeech-l+esb/diagnostic-dataset+esb/diagnostic-dataset+esb/diagnostic-dataset+esb/diagnostic-dataset+esb/diagnostic-dataset+esb/diagnostic-dataset+esb/diagnostic-dataset+esb/diagnostic-dataset+esb/diagnostic-dataset+esb/diagnostic-dataset+esb/diagnostic-dataset+esb/diagnostic-dataset" \ |
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--eval_dataset_config_name "l+librispeech+librispeech+common_voice+common_voice+voxpopuli+voxpopuli+tedlium+tedlium+spgispeech+spgispeech+ami+ami" \ |
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--eval_split_name "validation+clean+other+clean+other+clean+other+clean+other+clean+other+clean+other" \ |
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--eval_text_column_name "text+ortho_transcript+ortho_transcript+ortho_transcript+ortho_transcript+ortho_transcript+ortho_transcript+ortho_transcript+ortho_transcript+ortho_transcript+ortho_transcript+ortho_transcript+ortho_transcript" \ |
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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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--logging_steps 25 \ |
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--save_total_limit 1 \ |
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--max_steps 80000 \ |
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--wer_threshold 10 \ |
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--per_device_train_batch_size 64 \ |
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--per_device_eval_batch_size 64 \ |
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--dtype "bfloat16" \ |
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--dataloader_num_workers 16 \ |
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--cache_dir "/fsx/sanchit/.cache" \ |
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--dataset_cache_dir "/fsx/sanchit/.cache" \ |
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--output_dir "./" \ |
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--wandb_name "large-32-2-gpu-timestamped" \ |
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--wandb_dir "/fsx/sanchit/.cache" \ |
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--wandb_project "distil-whisper" \ |
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--do_train \ |
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--do_eval \ |
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--use_scan \ |
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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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--streaming \ |
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--use_auth_token \ |
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--push_to_hub |
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