|
#!/usr/bin/env bash |
|
|
|
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 |
|
|