PYTHONPATH=. python examples/pytorch/text_classification/finetune_text_classification.py \
    --task 'text-classification' \
    --model 'damo/nlp_structbert_backbone_base_std' \
    --train_dataset_name 'clue' \
    --train_subset_name 'tnews' \
    --first_sequence 'sentence' \
    --preprocessor.label label \
    --model.num_labels 15 \
    --labels '0,1,2,3,4,5,6,7,8,9,10,11,12,13,14' \
    --preprocessor 'sen-cls-tokenizer' \
    --use_model_config True \
    --max_epochs 1 \
    --train.dataloader.workers_per_gpu 0 \
    --evaluation.dataloader.workers_per_gpu 0 \
    --train.optimizer.lr 1e-5 \
    --eval_metrics 'seq-cls-metric' \