run.sh

python run_audio_classification.py \
    --model_name_or_path openai/whisper-base \
    --dataset_name common_language \
    --output_dir whisper-base-ft-common-language-id \
    --overwrite_output_dir \
    --remove_unused_columns False \
    --do_train \
    --do_eval \
    --fp16 \
    --learning_rate 1e-5 \
    --max_length_seconds 30 \
    --attention_mask False \
    --warmup_ratio 0.1 \
    --num_train_epochs 10 \
    --per_device_train_batch_size 32 \
    --per_device_eval_batch_size 16 \
    --gradient_checkpointing \
    --dataloader_num_workers 4 \
    --logging_strategy steps \
    --logging_steps 25 \
    --evaluation_strategy epoch \
    --save_strategy epoch \
    --load_best_model_at_end True \
    --metric_for_best_model accuracy \
    --seed 0 \
    --freeze_feature_encoder False \
    --label_column_name language \
    --push_to_hub