Global:
  input_names: ['x0', 'x1', 'x2']
  model_dir: ./x2paddle_qnli
  model_filename: model.pdmodel
  params_filename: model.pdiparams
  model_type: bert-base-cased
  task_name: qnli
  dataset: glue
  batch_size: 1
  max_seq_length: 128
  padding: max_length
  return_attention_mask: True
TrainConfig:
  epochs: 3
  eval_iter: 855
  learning_rate: 1.0e-6
  optimizer_builder:
    optimizer: 
      type: AdamW
    weight_decay: 0.01
  origin_metric: 0.9068