| #!/usr/bin/env bash |
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| TCMALLOC_LARGE_ALLOC_REPORT_THRESHOLD=10000000000 python3 run_distillation.py \ |
| --model_name_or_path "distil-whisper/large-32-2" \ |
| --teacher_model_name_or_path "openai/whisper-large-v2" \ |
| --train_dataset_config_name "all+all+all+en+en+ihm+sdm+clean+all+L" \ |
| --train_dataset_samples "2.9+10.4+14.9+89+18.2+10.9+10.9+288+371.2+192.7" \ |
| --train_dataset_name "librispeech_asr+librispeech_asr+librispeech_asr+common_voice_13_0+voxpopuli+ami-ihm+ami-sdm+peoples_speech-clean+switchboard-data+spgispeech" \ |
| --train_split_name "train.clean.100+train.clean.360+train.other.500+train+train+train+train+train+train+train" \ |
| --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" \ |
| --eval_dataset_config_name "l+librispeech+librispeech+common_voice+common_voice+voxpopuli+voxpopuli+tedlium+tedlium+spgispeech+spgispeech+ami+ami" \ |
| --eval_split_name "validation+clean+other+clean+other+clean+other+clean+other+clean+other+clean+other" \ |
| --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" \ |
| --eval_steps 1250 \ |
| --save_steps 1250 \ |
| --warmup_steps 250 \ |
| --learning_rate 0.0001 \ |
| --lr_scheduler_type "constant_with_warmup" \ |
| --logging_steps 25 \ |
| --save_total_limit 1 \ |
| --max_steps 20000 \ |
| --wer_threshold 10 \ |
| --per_device_train_batch_size 128 \ |
| --per_device_eval_batch_size 128 \ |
| --dtype "bfloat16" \ |
| --precision "full_mixed" \ |
| --dataloader_num_workers 16 \ |
| --cache_dir "/fsx/sanchit/.cache" \ |
| --dataset_cache_dir "/fsx/sanchit/.cache" \ |
| --output_dir "./" \ |
| --wandb_name "large-32-2-gpu-flat-lr" \ |
| --wandb_dir "/fsx/sanchit/.cache" \ |
| --wandb_project "distil-whisper" \ |
| --do_train \ |
| --do_eval \ |
| --use_scan \ |
| --gradient_checkpointing \ |
| --overwrite_output_dir \ |
| --predict_with_generate \ |
| --freeze_encoder \ |
| --streaming \ |
| --use_auth_token \ |
| --push_to_hub |
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