run.sh

#!/usr/bin/env bash

accelerate launch --mixed_precision=bf16 run_distillation.py \
  --model_name_or_path "./distil-large-v3-init" \
  --teacher_model_name_or_path "openai/whisper-large-v3" \
  --train_dataset_name "mozilla-foundation/common_voice_15_0" \
  --train_dataset_config_name "de" \
  --train_split_name "train" \
  --text_column_name "sentence" \
  --eval_dataset_name "mozilla-foundation/common_voice_15_0" \
  --eval_dataset_config_name "de" \
  --eval_split_name "validation" \
  --eval_text_column_name "sentence" \
  --eval_steps 5000 \
  --save_steps 5000 \
  --warmup_steps 500 \
  --learning_rate 1e-4 \
  --lr_scheduler_type "linear" \
  --logging_steps 25 \
  --save_total_limit 1 \
  --max_steps 50000 \
  --per_device_train_batch_size 64 \
  --per_device_eval_batch_size 64 \
  --dataloader_num_workers 16 \
  --preprocessing_num_workers 16 \
  --ddp_timeout 7200 \
  --dtype "bfloat16" \
  --output_dir "./" \
  --use_pseudo_labels "false" \
  --wandb_project "huggingface" \
  --condition_on_prev_probability "0.0" \
  --do_train \
  --do_eval \
  --gradient_checkpointing \
  --overwrite_output_dir \
  --predict_with_generate \
  --freeze_encoder \
  --streaming