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accelerate launch --config_file config.yaml peft_adalora_whisper_large_training.py \
--model_name_or_path "openai/whisper-large-v2" \
--language "Marathi" \
--language_abbr "mr" \
--task "transcribe" \
--dataset_name "mozilla-foundation/common_voice_11_0" \
--push_to_hub \
--preprocessing_num_workers 2 \
--per_device_train_batch_size 8 \
--per_device_eval_batch_size 8 \
--dataloader_pin_memory \
--dataloader_num_workers 2 \
--learning_rate 1e-3 \
--weight_decay 1e-4 \
--num_train_epochs 3 \
--gradient_accumulation_steps 1 \
--lr_scheduler_type "linear" \
--num_warmup_steps 50 \
--output_dir "adalora_whisper_large_marathi_multi_adapter" \
--seed 42 \
--load_best_model \
--with_tracking \
--report_to "wandb" \
--hub_token $HUB_TOKEN \
--checkpointing_steps 2000 \
--evaluation_steps 2000 \
--logging_steps 25 \
--use_peft \
--use_adalora \
--init_r 12 \
--target_r 8 \
--tinit 100 \
--tfinal 800 \
--delta_t 10 \
--lora_alpha 32 \
--lora_dropout 0.1 \
--orth_reg_weight 0.5 |