clean/audio/safeear/config/train19.yaml

datamodule:
  _target_: safeear.datas.asvspoof19.DataModule
  batch_size: 2
  num_workers: 8
  pin_memory: true
  DataClass_dict:
    _target_: safeear.datas.asvspoof19.DataClass
    train_path: ["datas/ASVSpoof2019/train.tsv", "datas/ASVSpoof2019/ASVspoof2019.LA.cm.train.trn.txt", "datas/datasets/ASVSpoof2019_Hubert_L9/ASVspoof2019_LA_train/flac"]
    val_path: ["datas/ASVSpoof2019/dev.tsv", "datas/ASVSpoof2019/ASVspoof2019.LA.cm.dev.trl.txt", "datas/datasets/ASVSpoof2019_Hubert_L9/ASVspoof2019_LA_dev/flac"]
    test_path: ["datas/ASVSpoof2019/eval.tsv", "datas/ASVSpoof2019/ASVspoof2019.LA.cm.eval.trl.txt", "datas/datasets/ASVSpoof2019_Hubert_L9/ASVspoof2019_LA_eval/flac"]
    max_len: 64600

decouple_model:
  _target_: safeear.models.decouple.SpeechTokenizer
  n_filters: 64
  strides: [8,5,4,2]
  dimension: 1024
  semantic_dimension: 768
  bidirectional: true
  dilation_base: 2
  residual_kernel_size: 3
  n_residual_layers: 1
  lstm_layers: 2
  activation: ELU
  codebook_size: 1024
  n_q: 8
  sample_rate: 16000

speechtokenizer_path: model_zoos/SpeechTokenizer.pt

detect_model:
  _target_: safeear.models.safeear.SafeEar1s
  front:
    _target_: safeear.models.safeear.SE_Rawformer_front
  embedding_dim: 1024 
  dropout_rate: 0.1 
  attention_dropout: 0.1 
  stochastic_depth: 0.1 
  num_layers: 2
  num_heads: 8 
  num_classes: 2 
  positional_embedding: 'sine' 
  mlp_ratio: 1.0

system:
  _target_: safeear.trainer.safeear_trainer.SafeEarTrainer
  lr_raw_former: 3.0e-4
  save_score_path: ${exp.dir}/${exp.name}

exp: 
  dir: Exps/ # 修改
  name: ASVspoof19 # 修改

early_stopping:
  _target_: pytorch_lightning.callbacks.EarlyStopping
  monitor: val_eer # 修改
  mode: min
  patience: 40
  verbose: true

checkpoint:
  _target_: pytorch_lightning.callbacks.ModelCheckpoint
  dirpath: ${exp.dir}/${exp.name}/checkpoints
  monitor: val_eer # 修改
  mode: min
  verbose: true
  save_top_k: 1
  save_last: true
  filename: '{epoch}-{val_eer:.4f}' # 修改

logger:
  _target_: pytorch_lightning.loggers.WandbLogger
  name: ${exp.name}
  save_dir: ${exp.dir}/${exp.name}/logs
  offline: true
  project: SafeEar

trainer:
  _target_: pytorch_lightning.Trainer
  devices: [0]
  max_epochs: 500
  sync_batchnorm: true
  default_root_dir: ${exp.dir}/${exp.name}/
  accelerator: gpu
  limit_train_batches: 1.0
  limit_val_batches: 1.0
  fast_dev_run: false