model:
  names:
  - hf_text
  hf_text:
    checkpoint_name: local://hf_text
    gradient_checkpointing: false
    pooling_mode: cls
    data_types:
    - text
    tokenizer_name: hf_auto
    max_text_len: 512
    insert_sep: true
    low_cpu_mem_usage: false
    text_segment_num: 2
    stochastic_chunk: false
    text_aug_detect_length: 10
    text_trivial_aug_maxscale: 0.0
    text_train_augment_types: null
data:
  image:
    missing_value_strategy: skip
  text:
    normalize_text: false
  categorical:
    minimum_cat_count: 100
    maximum_num_cat: 20
    convert_to_text: true
  numerical:
    convert_to_text: false
    scaler_with_mean: true
    scaler_with_std: true
  label:
    numerical_label_preprocessing: standardscaler
  pos_label: null
  mixup:
    turn_on: false
    mixup_alpha: 0.8
    cutmix_alpha: 1.0
    cutmix_minmax: null
    prob: 1.0
    switch_prob: 0.5
    mode: batch
    turn_off_epoch: 5
    label_smoothing: 0.1
  templates:
    turn_on: false
    num_templates: 30
    template_length: 2048
    preset_templates:
    - super_glue
    - rte
    custom_templates: null
optimization:
  optim_type: adamw
  learning_rate: 0.0001
  weight_decay: 0.001
  lr_choice: layerwise_decay
  lr_decay: 0.9
  lr_schedule: cosine_decay
  max_epochs: 10
  max_steps: -1
  warmup_steps: 0.1
  end_lr: 0
  lr_mult: 1
  patience: 10
  val_check_interval: 0.5
  check_val_every_n_epoch: 1
  gradient_clip_val: 1
  gradient_clip_algorithm: norm
  track_grad_norm: -1
  log_every_n_steps: 10
  val_metric: null
  top_k: 3
  top_k_average_method: greedy_soup
  efficient_finetune: null
  lora:
    module_filter: null
    filter:
    - query
    - value
    - ^q$
    - ^v$
    - ^k$
    - ^o$
    r: 8
    alpha: 8
  loss_function: auto
env:
  num_gpus: 1
  num_nodes: 1
  batch_size: 128
  per_gpu_batch_size: 8
  eval_batch_size_ratio: 4
  per_gpu_batch_size_evaluation: null
  precision: 16
  num_workers: 2
  num_workers_evaluation: 2
  fast_dev_run: false
  deterministic: false
  auto_select_gpus: true
  strategy: null
  deepspeed_allgather_size: 1000000000.0
  deepspeed_allreduce_size: 1000000000.0