official/nlp/configs/experiments/wiki_books_pretrain.yaml

task:
  init_checkpoint: ''
  model:
    cls_heads: [{activation: tanh, cls_token_idx: 0, dropout_rate: 0.1, inner_dim: 768, name: next_sentence, num_classes: 2}]
  train_data:
    drop_remainder: true
    global_batch_size: 512
    input_path: '[Your processed wiki data path]*,[Your processed books data path]*'
    is_training: true
    max_predictions_per_seq: 76
    seq_length: 512
    use_next_sentence_label: true
    use_position_id: false
    use_v2_feature_names: true
  validation_data:
    drop_remainder: false
    global_batch_size: 512
    input_path: '[Your processed wiki data path]-00000-of-00500,[Your processed books data path]-00000-of-00500'
    is_training: false
    max_predictions_per_seq: 76
    seq_length: 512
    use_next_sentence_label: true
    use_position_id: false
    use_v2_feature_names: true
trainer:
  checkpoint_interval: 20000
  max_to_keep: 5
  optimizer_config:
    learning_rate:
      polynomial:
        cycle: false
        decay_steps: 1000000
        end_learning_rate: 0.0
        initial_learning_rate: 0.0001
        power: 1.0
      type: polynomial
    optimizer:
      type: adamw
    warmup:
      polynomial:
        power: 1
        warmup_steps: 10000
      type: polynomial
  steps_per_loop: 1000
  summary_interval: 1000
  train_steps: 1000000
  validation_interval: 1000
  validation_steps: 64