| |
|
|
| accelerate launch run_distillation.py \ |
| --model_name_or_path "./distil-large-v3-init" \ |
| --teacher_model_name_or_path "openai/whisper-large-v3" \ |
| --train_dataset_name "distil-whisper/ami-ihm+distil-whisper/ami-ihm" \ |
| --train_dataset_config_name "ihm+ihm" \ |
| --train_split_name "train+validation" \ |
| --text_column_name "text+text" \ |
| --train_dataset_samples "7+4" \ |
| --eval_dataset_name "distil-whisper/ami-ihm" \ |
| --eval_dataset_config_name "ihm" \ |
| --eval_split_name "test" \ |
| --eval_text_column_name "text" \ |
| --eval_steps 1000 \ |
| --save_steps 1000 \ |
| --warmup_steps 50 \ |
| --learning_rate 0.0001 \ |
| --lr_scheduler_type "constant_with_warmup" \ |
| --timestamp_probability 0.2 \ |
| --condition_on_prev_probability 0.2 \ |
| --language "hi" \ |
| --task "transcribe" \ |
| --logging_steps 25 \ |
| --save_total_limit 1 \ |
| --max_steps 5000 \ |
| --wer_threshold 20 \ |
| --use_pseudo_labels True \ |
| --per_device_train_batch_size 16 \ |
| --per_device_eval_batch_size 16 \ |
| --dataloader_num_workers 8 \ |
| --preprocessing_num_workers 8 \ |
| --ddp_timeout 7200 \ |
| --dtype "bfloat16" \ |
| --attn_implementation "sdpa" \ |
| --output_dir "./" \ |
| --do_train \ |
| --do_eval \ |
| --gradient_checkpointing \ |
| --overwrite_output_dir \ |
| --predict_with_generate \ |
| --freeze_encoder \ |
| --freeze_embed_positions \ |
| --streaming True \ |
| --push_to_hub |
|
|
