File size: 1,168 Bytes
55f3766 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 |
#!/usr/bin/env bash
accelerate launch --mixed_precision=bf16 --num_processes=1 run_distillation_pt.py \
--model_name_or_path "distil-whisper/tiny-random-whisper-2-1" \
--teacher_model_name_or_path "distil-whisper/tiny-random-whisper" \
--train_dataset_name "distil-whisper/librispeech_asr_dummy" \
--train_dataset_config_name "clean" \
--train_dataset_samples "100" \
--train_split_name "validation" \
--eval_dataset_name "distil-whisper/librispeech_asr_dummy" \
--eval_dataset_config_name "clean" \
--eval_split_name "validation" \
--eval_text_column_name "text" \
--cache_dir "/home/sanchit/.cache" \
--dataset_cache_dir "/home/sanchit/.cache" \
--wandb_project "distil-whisper-debug" \
--output_dir "./" \
--do_train \
--do_eval \
--learning_rate 1e-4 \
--warmup_steps 25 \
--per_device_train_batch_size 8 \
--per_device_eval_batch_size 8 \
--gradient_checkpointing \
--max_steps 100 \
--eval_steps 50 \
--save_steps 50 \
--dataloader_num_workers 14 \
--wer_threshold 10 \
--logging_steps 5 \
--overwrite_output_dir \
--dtype bfloat16 \
--predict_with_generate \
--freeze_encoder \
--streaming False
|