ml_model/config.yaml

model:
  names:
  - ft_transformer
  - fusion_mlp
  - hf_text
  hf_text:
    checkpoint_name: local://hf_text
    gradient_checkpointing: false
    pooling_mode: cls
    data_types:
    - text
    tokenizer_name: hf_auto
    use_fast: true
    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: 0.1
    text_train_augment_types: null
  fusion_mlp:
    aux_loss_weight: null
    adapt_in_features: max
    hidden_sizes:
    - 128
    activation: leaky_relu
    dropout: 0.1
    normalization: layer_norm
    data_types: null
  ft_transformer:
    data_types:
    - numerical
    embedding_arch:
    - linear
    token_dim: 192
    hidden_size: 192
    num_blocks: 3
    attention_num_heads: 8
    attention_dropout: 0.2
    residual_dropout: 0.0
    ffn_dropout: 0.1
    ffn_hidden_size: 192
    ffn_activation: geglu
    head_activation: relu
    normalization: layer_norm
    merge: concat
    requires_all_dtypes: false
    additive_attention: false
    share_qv_weights: false
    pooling_mode: cls
    checkpoint_name: null
data:
  image:
    missing_value_strategy: zero
  text:
    normalize_text: false
  categorical:
    minimum_cat_count: 100
    maximum_num_cat: 20
    convert_to_text: false
    convert_to_text_template: latex
  numerical:
    convert_to_text: false
    scaler_with_mean: true
    scaler_with_std: true
  document:
    missing_value_strategy: zero
  label:
    numerical_preprocessing: standardscaler
  pos_label: null
  column_features_pooling_mode: concat
  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
  modality_dropout: 0
  templates:
    turn_on: false
    num_templates: 30
    template_length: 2048
    preset_templates:
    - super_glue
    - rte
    custom_templates: null
optim:
  optim_type: adamw
  lr: 0.0001
  weight_decay: 0.001
  lr_choice: layerwise_decay
  lr_decay: 0.9
  lr_schedule: cosine_decay
  max_epochs: 20
  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
  skip_final_val: false
  gradient_clip_val: 1
  gradient_clip_algorithm: norm
  track_grad_norm: -1
  log_every_n_steps: 10
  label_smoothing: 0
  top_k: 3
  top_k_average_method: greedy_soup
  peft: null
  lora:
    module_filter: null
    filter:
    - query
    - value
    - ^q$
    - ^v$
    - ^k$
    - ^o$
    r: 8
    alpha: 8
    conv_lora_expert_num: 8
  loss_func: auto
  focal_loss:
    alpha: null
    gamma: 2.0
    reduction: mean
  mask2former_loss:
    loss_cross_entropy_weight: 10.0
    loss_mask_weight: 5.0
    loss_dice_weight: 5.0
  extra_trainable_params: []
  cross_modal_align: null
  cross_modal_align_weight: 0
  automatic_optimization: true
  lemda:
    turn_on: false
    arch_type: mlp_vae
    z_dim: 8
    num_layers: 6
    kld_weight: 0.1
    mse_weight: 0.1
    adv_weight: 0.0001
    consist_weight: 0.01
    consist_threshold: 0.5
    lr: 0.0001
    optim_type: adamw
    weight_decay: 1.0e-05
env:
  num_gpus: 2
  num_nodes: 1
  batch_size: 128
  per_gpu_batch_size: 8
  inference_batch_size_ratio: 4
  precision: 16-mixed
  num_workers: 2
  num_workers_inference: 2
  accelerator: auto
  fast_dev_run: false
  deterministic: false
  auto_select_gpus: true
  strategy: ddp_fork_find_unused_parameters_true
  deepspeed_allgather_size: 1000000000.0
  deepspeed_allreduce_size: 1000000000.0
  compile:
    turn_on: false
    mode: default
    dynamic: true
    backend: inductor