# @package _group_
common:
  fp16: true
  log_format: json
  log_interval: 200
  seed: 1337
  # tensorboard_logdir: tblog_proj_name
  # wandb_project: wandb_proj_name

checkpoint:
  save_interval_updates: 10000
  keep_interval_updates: -1
  no_epoch_checkpoints: true


distributed_training:
  ddp_backend: no_c10d
  distributed_backend: 'nccl'
  distributed_world_size: 64
  nprocs_per_node: 8
  find_unused_parameters: true

task:
  _name: mert_pretraining
  data: ???
  label_dir: ???
  labels: ???
  numpy_memmap_label: true
  store_labels: true
  label_rate: ${model.label_rate}
  sample_rate: 24000
  # crop to 5s
  max_sample_size: 120000
  min_sample_size: 72000

  pad_audio: false
  random_crop: true
  normalize: false # must be consistent with extractor
  do_valid_set_test: false


dataset:
  num_workers: 6
  max_tokens: 2000000
  skip_invalid_size_inputs_valid_test: true
  validate_interval: 10
  validate_interval_updates: 10000

criterion:
  _name: hubert
  pred_masked_weight: 1.0
  pred_nomask_weight: 0.0
  loss_weights: [10, 1]

optimization:
  max_update: 400000
  lr: [0.0005]
  clip_norm: 10.0

optimizer:
  _name: adam
  adam_betas: (0.9,0.98)
  adam_eps: 1e-06
  weight_decay: 0.01

lr_scheduler:
  _name: polynomial_decay
  warmup_updates: 32000

model:
  _name: mert
  label_rate: ???
  skip_masked: false
  skip_nomask: true
  mask_prob: 0.8
  mask_length: 5

  logit_temp: 0.1

  # ----- mixture ------
  mixture_prob: 0.5
  inbatch_noise_augment_len_range: "[12000, 24000]"
  inbatch_noise_augment_number_range: "[1, 3]"
  inbatch_noise_augment_volume: 1.0
  # ------------------------
  extractor_mode: default
  audio_extract_type: w2v_conv
  conv_feature_layers: '[(512,10,5)] + [(512,5,3)] + [(512,3,2)] * 4 + [(512,2,2)] * 2'

  # ---- cqt reconstruction, need to add loss weight ---
  audio_cqt_loss_m: true
  audio_cqt_bins: 336
  # -----------
  final_dim: 64
  encoder_layerdrop: 0.05
  dropout_input: 0.1
  dropout_features: 0.1
  dropout: 0.1
  attention_dropout: 0.1
  feature_grad_mult: 0.1
  untie_final_proj: true
  activation_dropout: 0.0


hydra:
  job:
    config:
      override_dirname:
        kv_sep: '-'
        item_sep: '__'
        exclude_keys:
          - run
          - task.data
          - task.label_dir
  run:
    dir: ???
  sweep:
    dir: ???
    subdir: ${hydra.job.config_name}__${hydra.job.override_dirname}