#!/usr/bin/env bash python run_finetuning.py \ --model_name_or_path "distil-whisper/tiny-random-whisper" \ --dataset_name "distil-whisper/librispeech_asr" \ --dataset_config_name "all" \ --train_split_name "train.clean.100[:1024]" \ --eval_split_name "validation.clean[:1024]" \ --cache_dir "/home/sanchitgandhi/cache" \ --dataset_cache_dir "/home/sanchitgandhi/cache" \ --wandb_dir "/home/sanchitgandhi/.cache" \ --text_column_name "text" \ --output_dir "./" \ --do_train \ --do_eval \ --per_device_train_batch_size 8 \ --per_device_eval_batch_size 4 \ --dtype "bfloat16" \ --num_train_epochs 2 \ --dataloader_num_workers 16 \ --freeze_encoder \ --wandb_project "distil-whisper-debug" \ --logging_steps 2 \ --use_scan \ --gradient_checkpointing \ --overwrite_output_dir \ --predict_with_generate